2025's Most Important Career Podcast - AI Skills For All Ages | Masters' Union Dr. Nandini Seth ,TRS

[PHONE RINGING] OK, GPT Hindi me baat ki jee, 'Hame ye baat hai ki, 'Aaj sabse hai promiswalai jobs konese hai'. 'Milkul, tu bharat ne kuch hai promiswalai jobs kobhar kar hain ge. 'Sabse tehne'. 'Ei, eis saal ka sabse, 'Zharuri karyeh aur podcast hai'. 'Bhoha sare logna, 'Ei ki against evala narrative rakhte hai ki, 'Matla jobs chali jaaayin ki, 'Bhoha, tu bharat na, 'Bhoha, tu bharat na, 'Bhoha, tu bharat na, 'Bhoha, tu bharat na, 'Bhoha, tu bharat na, آپ کو AI Fluency reichی ہے یا آپ کو AI Design Capability reichی ہے. اور یہ 3 ھ کے لئے بہت Different Different trajectories reichی ہے. جس میں کی. جس آپ نے کہ ہمیں پہلے پتہ رہے تھا ہمیں next 3 ھ کے لئے لن کرنے. تو مجھ لگتے کہ AI Literacy reichی ہے, تو ہمیں بہتی جلدی بھیلٹ کر دینا. چھے شاہت سکھول میں بھیلٹ کر دینا. ایک مرد. ایک دیس پہلے میں چاہوں گا کہ جتنے بھی لوگے POTCUS ھون رہے. ایک Node book اور PEN لے کر. کருheavy کzzo every week on can be at the hands of the Gods in his videos. To the helping us put the template-比如 fantasies that Wake your ang Rugby firm mithee 1 category tr a child t t t t t t t t t t t t t t t t t t t t t t t t t ھاں ہم ہندی ہندی چاہی ہم ہے ھاں ہندی ہندی چاہی ہم ہے ھاں ہندی ہندی چاہی ہم ھاں ہندی ہندی چاہی ہم ہے ھاں ہندی ہندی چاہی ہم ہے கேہ سےputerVR تو ேроfigurat اسے بھی ہمیں ان்புڑс دیجے کیوں کہ جتنے بھی لسنوڑ سنڑے بات کا اسہرے کری اور ہوری انٹڈے اور اگر پاہت سے زیادہ جو عب کو لستوٹ کرنے تو وہ بھی کر دیجے آپ بلکل اگر ہم 25 سے 2030 تک کے حصاب سے دیکھیں تو بھارت میں کچھ ہائپرامسپلے جو عبز اوبر کرائیں گے سب سے پہلے دیتا سائینتیسٹ کا دمان بہت بار ہی گا دوسرا ایائے اور مشین لرنگ انجنیارس کا سکو پھی کافی بارے گا تیسرا سائیبر سکیورپی ایک سپوچھ کی ضرورت بارنے والی ہے کیوں کہ دیجیتیلیزیشن بایڈ رہا ہے چو تھا رینیوائبل انہری سکٹر میں بھی گروت ہوگی تو سستینیوائبل انہری سپیشلس کی مانگ بارے گی پاچوہ ہیلت تک اور بائیو ٹکنوالگی میں بھی نہیں نوکریاں اوپھریں گی کس کر تلی میگسن اور جنیٹک انجنیارگ میں یہ جو اپس نصف فینانشلی لوبحابنے ہوگے بلکی کری اور گروت کے لیحا سے بھی تافی پرمیسن رہیں گے OK نندنی سیٹ کے بار میں میری بات ہوئی تھی آپ سے نا یاد ہے 네 آپ نے بتایا تھا کہ نندنی شیٹ آپ کی اچھی دوسٹ ہے نہیں نہیں یہ دیکھو یہاں یہ ایک چیمانہ نہیں بتایا یہ چاٹ جیپیٹی کی توڑی سے ایک لیمٹیشن ہے اسکہ لیسنیشن بولٹے ہم لوگ نیائی کبھی کبھی کیا کرتا ہے کہ اسے سمج میں نہیں آتا ہے کہ کبھی کبھی وہ конфیوز ہو جانتے ہیں کہ the point is ki وہ ایک کن سپٹ پے کرتے جسے بولٹیں اٹنشن تو وہ فیگر اوت کرتے سبسی مپورٹنٹ بات آپ نے کیا بہولی ہے اگر آپ ایک پوری لین بولیں گے آپ نے ایک نی سارے ورٹھز بولڈی ہے اس نے سپھا بہت کمپر ہند کیا ہے یہ بہت دفرینٹ ہے آپ کی سیری اور الیکسہ سے ایک پورٹنٹ بولٹیں اسے سپھا بہت کچھ ہم سیری اور الیکسہ کو ایس کرتے ہیں سیری اور الیکسہ میں آپ یہ بولٹے ہو کہ good morning بولہ وہ good morning بولٹے چھپو جاتے ہیں وہ یہ نہیں بولٹے آپ نے وہ لیکنے بولٹے آپ نے بولٹے آپ نے بولٹے آپ نے بولٹے آپ نے بولٹے آپ نے بولٹے آپ کو اٹھتا سارے چیزیں بتا گی نہیں کہ یہ ہوتا ہے وہ نیوز رید کر کے بتا دیکھیں وہ Translator ہے وہ سامج پاری ہے وہ Generative یہ ہے یہ جنیریٹے ہے آپ نے آپ سے Information Generate کر رہے تو اب اب بھی کبھی غلت Information Generate کر سکتے ہو آپ نے بہت کچھ پڑا ہے آپ کے دماغ میں شاہی نہیں رہا یا آپ نے کسی غلت چیز کو Associate کر لیا ابھی اس نے بہی کیا یہ غلت چیز کو Associate کر لیا جن لوگوں نے 1-2 اس سے ایک جنیریٹے کے لئے ایک جنیریٹے کے لئے ایک جنیریٹے کے لئے ایک جنیریٹے یہ جنیریٹے کے لئے ایک جنیریٹے کے لئے ایک جنیریٹے کے لئے ایک جنیریٹے کے لئے ایک جنیریٹے کے لئے کیا رہا ہوں یہ start ڈا تکے اب اسٹیم پے کہا تھا کہ ساملی جچیٹ جیپیٹی اپنے ایک کوئی ایسا دوسٹے جو کینا بہت رید کرتے ہیں اتلاب ہی spends a lot of time on the internet. تو وہ بہت رید کرتے اٹکلز بھی بوکس بھی نیوس بھی سپکچھ چکے اب جب اس نے بہت ساری چیزیں رید کرے اس نے اپنے دماغ میں چیزوں کے انڈسنٹنگ بنالی ہم ایومن بیگز بھی پڑھے کی انڈسنٹنگ بنالے ہیں چیزوں کی تو اس کے بعد اینیشیل لوگ تھے جنوں نے سپسے پہلے start ڈا ایوز کرنا اوشٹیم پچھا اوٹ پٹ آتا تھا تھا وہ صرف اسی کے بیسیس پر آتا تھا کہ کنسہ 데ٹا اس کے اندر گیا وہاں ویچوز بوکس بلوگس انٹنٹ پیر جنیریٹٹڈ دیٹا اس کے بعد اس کے اندر human feedbacks anil agia, ke all zada logi uskanne lagay to all zada data anil agia aur uskases nikel gay to uski aur versions ban gay, to uski kya wa usne better learn kia. -Muhap, ju me ne abhi char gbd ko chila aki aur nahi ke ghala bha dha. -Abu usne learn kia human feedbacks aap ke kye ne nandini se it aap kye friend nahi hai. -Muhap. -Aka aur problem jaya jo aia, jasliye me ne bula ki ma informant word se zada usko tieodha aur nuans kar na jong ki ki ye na sirav data ke basis pe aap ko patens bha tata hai. -Esa me lakta hai ki ye human being ki taraan behave kar rai, -Pat ko human being nahi hai, boh tstetistikal hai na e-charmati ki hai, -Pat ka rekag na e-skar ki, uske basis pe bha bha bha tata hai. -Aga nai na aap ko bha la, the sky is - - - -Next word bha tata hai. -Blu. -Kar rekt. -Aga raap chaat jeepati sa bhi puchinghe bha bluhi bha lye ka. -Exactly concept hai, usne kya ki ha, usne mula skya aap ne word bula hai, oder lahat dhār kājātā kabī. Internet ke hazaar articles kain kar ke, Ust- er- Billions. Billions hazaar bhi bhaat ka mala. Ust- er- mola he hayesh, frequency of Akrink. Hyyesh, probability ki akhla word ke yao-gao ba- blu-i-yona-jeda to blu-aaya, Aap ni bhi blu bola, Chad G.P.T.B. blu-i-yona. Likhi napa paa paa paa paa saa komplex kaur riyo ki 'Meh advise maangrao, Indian context meh meh meh, 'Ey puchnao ki kongsi jobs hayesh peing hongi, 'Sapsa zada lucrative hongi, ho sabh, yaap ni komplex input karnaash rukar dhiyo, 'Complex input ki wajhāsse kabhi ka bhi u galti kārsakta hai. 'Ey kaur chis dhiskhe se bha galti kārsakta hai, 'Ham ni bhaasar abh human data dhāl naash rukar dhiyo, 'Aga ra human data mein galti hongi, 'To voto patan i-read kkar ra na data bias hai agar, 'To voto voi patan i-read kkar hai ka jo bias wala patan hai, 'To voi bias nes bhi u ske output mein aayi ki. 'Halikhe se ek poskar na chauhngayam, mein ne khod notis ki hai, kheelti kheelti ki, 'Khi jitne lumbe aur gairi aapke promts reinghe, 'Uttne iis aada ahthi ansar zhul mlinghe aap ko aayi sae. 'Karakt. 'Mat lab aidham ki ki promts diya karum. 'Khi man lo agar mein aayi sae politiks kebar mein pustrao, 'To meh khod ke hazhar kanditions daal dhunga. 'Khi yeh bata hai yeh ki modi ki kebha dhaagla piyam kohanoga, 'Abi aap haar state ke loo scan kijilohi aid scan kijye wagye ra. 'Meh cricket fanu to ma pustrao ki, 'Acha jo ko li ka record hai hayes ranskur un nipial, 'Abi ke young cricketers hai, 'Uni meh se kond rekord tod ega, 'In meh se dakhhha s kond hai, 'Jho loo gen loga nabhi issaar debut ki ip al mein, 'Uni meh se kond hai. 'Besikla aap ek dam lumbe promts do, 'To hai aap ko baat sundar output se. 'Karakt. 'It depends on your promts. 'Absolutely. 'Jhaap baam kaya reak ki loo gyaat, 'Piis aap loo khelo aaya ke sa, 'Pail e, 'Thote mo te promts do yaha karo, 'And gradually work on your own 'Prompt engineering skill, 'Yey hote ye prompt engineering. 'Karakt. 'Correct. 'Sabse pail e aap ko se context dina padega, 'Meh kond hoo meh, 'Ese wali ki umpuhu shraum. 'Ti ke, 'To aap ko se batana padega, 'Jasi ki aap ne betaaya ki, 'Meh, 'Eye podkast rekord karno, 'Eye meh reakguest hai, 'Mu je ye, 'Meh aap ko feature karno, 'Aap ne context ko set kia ki, 'Kyu meh aap ko use karno, 'Hin na, 'It's, 'It's almost like your 'Expert that you're calling. 'Khi haap bae yaa baatau meh, 'Thumi bhaaya hai hai, 'Mu je aap ke baar meh pati aap ko mere baar meh kuch pati, 'Use ney pati hai, 'To aap ko se bho bhi baatana padega, 'Khi meh jo sawal poo chrayo, 'Bho kis perspektiv se poo chrayo, 'Kya aap ney jo paaach liukrativ, 'Bho poo chay, 'Kya aap, 'Ese le poo chrayo ki, 'Kyu ekhi, 'Kyu ekhi, 'Kyu ekhi, 'Aap ap na karir, 'Change karna ajat, 'Kyu aap, 'Ese le poo chayo ki, 'Aap ney, 'To ske bhaad haam ye, 'Pelik, 'Ik situation ka context deyenge, 'Fir haam sawal ka context deyenge, 'Fir haam jaakye use sawal poo chayo, 'Definitli bhaa output betar hai ga, 'Kyu ki aap ney, 'Use kinder kya kya, 'Aap ney, 'Aap ney, 'Use kare skriptwriting kale, 'Ya podcast questions kale, 'Kar dek, 'Ya jo bhi, 'Eka cho tois jee me ne notis kare hai, 'To in aau organisation, 'Hama rai ek role ea ka, 'Ea is called executive assistant, 'As an as the founder, 'Mir kutke dhima me, 'Has ar thotts chalte, 'Or reminders se leke, 'Problems, all beings se leke, 'Ske dueling, 'Ske dueling, 'Trouble shooting, 'Ou sub ea ko handle, 'Karna ho tha, 'Nitsa very complex role, Hue oralex roads, it takes a lot of responsibility and energy. Correct, but at the end of the day, EAB is a human being. So, I have One instruction but it has more than ten sunday instructions in instruction. Unless that person is writing it down they won't be able to remember but it was easier by an AI. This is not meant to be friends with data platform releases like these. But I think it is of wise language, it is a sorry version. It is a wise decision to look at the chatbot as your own personal, this irrespective of your job. Correct, now you are a founder. You have to do a lot of things to do. If I am a very simple example, میں نے آپ کو بتایا کہ میری چھوٹیسی بیٹی ہے 2 سال کی میں تو چچچچھی پٹی سے یہ بھی پوچھے گے اس کے کھانے میں کیا کھلاوں تھوڑا اופشنز دے دو میرے کو تو سمجھ میں نہیں آرے اופشنز یعفر اگر میں اپنے کالج کے بچے کو پڑھا رہی ہوتی ہوں اور کبھی وہ بہت بیسک چیس پسٹاک ہو جاتے تو میں نے نے نے نے نے نے نے ایائی کو ٹیوتر کی طرح انستمال کرو اور جہاں پہلے وہاں سے پڑھے میں سے بتاکھا کہ کیا تمے سمجھایا جب نہیں سمجھ میں آگہ تب میں سمجھا ہوں گی تو اولریڈی لوگ اسستنت کے لئے تو اس سے استمال کری رہے ہیں کیا ایائی تول ایسے بھی آگے ہیں جو اس کے دیولیں گھ بیٹر کر پارے ہیں تو اس کے دیولیں گھا لیے پرپس کے لے بھی ایوز ہوں پارے ٹرابل شوٹنگ پروبلم سالوگنگ اس کے اندر بہت زیادہ ہیوما ناسpect سوتے ہیں تو وہ ہم وہاں تک نہیں پاچھ پائے ہیں ابھی کیونکی ہم ابھی تک یہ ماان کے چلتے ہیں کہ ہم جینریٹے و انٹیلگنز پہی پاچھے ہیں کیا اس کو میں آپ کو بھاربیشا اتبتا ریتے کی ایک چیز ہوتی ہے اٹیفشل جینرل انٹیلگنز کیا وہ بلی جکا پہیں ابھی پاچھے نہیں ہے کہ ایک دم ہیوما نس کی طرف وہ سوشنگ لگ جی ہے وہ ایموش کوئی ٹرابل شوٹ کر رہا ہوگا کیا پروبلم ہے اسے کیسا ایمپاکٹ ہوگا اس کو سب کو دیماغ میں رکھے گا اس کے اتکل مورل امپلکیشن کیا ہوں گیا اس کو دیماغ میں رکھے گا انسانیت انسانیت وہ نہیں کر سکتا ہے ابھی ابھی آئی نہیں کر سکتا ہے پر وہاں تک موجرہ لو کہتے ہیں کہ 10 سال میں اگر بہت اپٹمیستیگ رہیں تو اُجھ لکتے پانچھے آٹ سال میں بھی پہچھ سکتا ہے اس میں کچھ ہماری اوڑینز ایسی ہوگی جمعاروال فانزوں گے تو ایرن مانگا جارویس ہوتا ہے جارویس ایک ایک زمپل ہے کی کیسا لکسکتا ہے اٹیفشل جینڈرل انٹیلجنز کیوکی جارویس نہکیسر اف تاسکس کرتا تھا نہکیسر اف پیٹنز پڑتا تھا نہکیسر اف مابس باتا تھا تھا Tony بایگی دیک بہل کرتا تھا اپنے آپ سے اٹ دیسیجن لیپا تھا تھا اگر اس کو لگا کی اٹیک ہو گیا وہ خود سے دیسیجن لیکر شدیان کر جاتا تھا تو یہ دیسیجن میکنگ بگرہ ابھی تک نہیں آئی ہے ایائی کو پر ایسا لکتا ہے کہ دو سے چار سال میں جیسے کی ہم ایک سمائی اٹنومہ stage پہ پانچ جائیں گے جہا پر کی میں ایس stage پر ان جیسے ابھی میں بات کر سکتی میں لیکسہ سیری سے میں جیسے کی بولا یہ نارو انٹیلجن سے آپ نے چیچ جی پیٹی سے بات کریں یہ جینریٹیف آیا ہو گیا اب میں اس کی آگیا اور اسی بھی بیلٹ کر سکتی ہوں کہ میں نے کوئی سیستمرٹ کر دیا جس کو میں یہ بولڈوں کی دیکھو تم میری پوریس کے دیولن کا دھیان رکھوں میرا بہت اچھے سا کچھ چینیز کھانے کا مانے find a place make me a reservation ki میری اپنے آپ ریزویشن بھی ہو جائے وہ ایک آل کریں وہ آپے سپوز اسے نہیں ملا تیبل تو وہ گئیں اور کال کریں پریے سپ کو چھ آپ کے لے ایائی کر رہا ہے فیلٹیسیشن ابھی بھی آپ کا یہ اب جا کے کھانا چھاہتے ہوئے یا نہیں گھانا چھاہتے پریے ایکیں کریں گے in the next two to four years see you glow aversion of wait i see my viewpoint as a founder is actually aversion of a ratharva doonos e baatui please go deep into self study aay we are all 23 24 out of college college میں نہیں زیخا ہے سب ایک کارچیس کے لے بھی ایمپورٹینٹرانیر it will free up there time to do more meaningful work yeah تکے تو ہم مینڈین Task repeated task کو اگر دی دیں گے ایائی کو تو ہمارہ مینٹل band width free up ہوتا ہے کہ ہم کچھ زیادہ meaningful کرسکے ہم کچھ اور کرسکے ہم سوٹھ سکے ہم کچھ کرسکے تو بہتھارے لوگنا ایائی کے again Steve a la narrative رکھتے ہیں کہ میٹھل جاہلی جائیں گی جاہب سچین لے گا پر یہ نہیں سوچھ دے کے جاہب سکریٹ بھی کرے گا band width بھی کرے گا کیا پتا ایائی کی بجا سے ہم لوگوں سے اف چار دن کام کرنا پڑے ہمیں ہم 3 دن فاملی کے ساتھ سبین کرسکے ہم 3 دن وہ چیزیں کرسکے جن سے ہمیں ھاں کوشی ملتی ہے ۔ offs, ھاں کے یہ جو گندہ سے دیکھےڈے 20-20 اس کا ہم ۔ یہاں ھاں دیزیزوں ہوں رہے ہیں ۔ ھاں کیوں ہوں تک میں ہوں ۔ اس کے بعد ۔ ھاں کیوں یہاں دیکھےڈوں ہوگا 20-30 اس میں ۔ ھاں کیوں ہوں ہوں۔ If we play our cards right right now ۔ I love your optimism ۔ [COUGH] fs, ھاں کیوں ہوں۔ fs, ھاں کیوں ہوں۔ fs, ھاں کیوں ہوں۔ fs,ھاں کیوں ہوں۔ fs,ھاں کیوں ہوں۔ fs,ھاں کیوں ہوں۔ fs,ھاں کیوں ہوں۔ fs,ھاں کیوں ہوں۔ що, lavars favors virus, vegetarian is something we don't have a positive energy these unbeaten the wrong setting why don't we just help them help others take care best learn doso what do you like wow this is the only a.I literacy a little bit of a addict many things especially school kids are addicted in terms of social media in terms of their screen usage I think this is a very good utilization of screen time we can learn from this maybe we should switch the time we were spending on social media we will split the phase to phase so that our human is very important and other times we will use the new skill to develop we are learning we should not become AI engineers we should not be engineering we should not go to tech field we forget that AI is a system AI is not a tool AI is a system when we came to world we used to take care of all of it AI is it is and now all of it has changed because of its life whatever you do and you just age so this is the way my life can change and I how I head off middhal person raha saktown basically jo hap naka ki 97 million jobs create hong ke up aah, yeh bhala podcast on 97 million jobs correct hap naka ki hoo je sa bula prompt engineer Thi ki hai hap ko diyad kar yeh, jhab hap school mein thay content creator naam ki koye job thi koye job thi aisey jo ki social media specialist ki hoo tithi ki hoo havo 90s mein internet aaya internet ke basis pellogane ralais ki hake haa abhi maare paa chisey jo schoom use karsak thi hai usko bhoot saarilogane bhoot creative thari ke sa use kia bhoot badi company zna pne brikken motor stores jo thay hoon ko digitais kardia bhoot banks ne apne transaction ko digitais kardia bhoot government ne apne saari chiseon ko digitais kia usitara creative logane ek outlet tunda jis ki enda bhoot content creators banke hai it is a new job creation because of internet usitara se AI ki vajasai apne AI specialist ML engineers, data scientist apne your prompt engineers jis aapne bhola tike bhoot fine tuned specialist ki aapne kutbata aaya hame ne discuss kia ki kye sa fine tuning karni bhaatia bhaatia jaarai aakurasi aakcha haata jaarai impruf kataarai kye sa karaa hai log kuch kaam karaaan tabhi impruf karaa to fine tuning expert hame ne AI ethics ki baat kari to ethics expert kye saare logha pe chahi abhi aur hewali jobs ke le aakchili me enough degrees bhi exist ni karti hai aur in jobs ke le enough training bhi nahi aabi to jitne bhi log sunra hai jo ki chaathe hai in spaces me jana me bozad aain kareage kareoong yon ko ki ishmi se kooch explore kare hai aapko techni engineer one ki sarwaratne hai ethics me kaam karene ke le jeseh dugu meha jaan to ki hewala podcast viral hai boz saare log dhek ne maala ishle aapse ek saaal bhoochonga if someone wants to get in touch with you, i aapse baat karna chai hai to how do they get in touch with you Lingdeen instagram okay hame linkar denge nige okay kye ah honestly Bharat ko aap jese lhoi ishle aru da no subject experts in this space ah so are you okay with people getting in touch with you yes yes absolutely very happy to help anybody who is trying to seek out more opportunities in this space wants to learn more ki kia官 pan Sabrina aj a kay bạn knife kia sa akin yeah neka hai Eventually proct engineering kibad kary ha Müze di dahartia use kessen ba t Vorsington pies is called important to prompt engineering shab to sunkar na loke dhar jhat it prompt engineering engineering naiyoti nahi naiyoti nahi naiyoti nahi pramt engineering communication skills ota correct correct this is the same as you have to structure your thoughts and how you have to structure your thoughts this is a framework for that. So basically you tell me now I want to ask you a question if you are thinking that you have asked the question how you have asked the question. prompt engineering is that I ask this question from this system because I always remember that this is not human beings this is a precision or a statistical number in a probability of playing. So how can I get the best? how can I get the best number? How can I give the context? How can I formulate the question properly? How can I answer the question properly? for example, we have said that we categorize the same as 4 categories. If you don't know what category you are in, then you should know the same podcast that you want to know, tell the chat board about the same and tell the same thing about the same. I want to do this in my life. my dream is to earn so much money, tell me what do I do in chat GPD? And the good part is that their boundaries are very poor. if you are not saying that you can move in a category, if you are not in a scope, then I can move in my category. can you guide the chat GPD or any tool that you can move in a category? What is the next progression? this framework is your. yes, this is conversational. It is not an established framework. but this is the professor's work. The teaching is very complex subject and structured. This is the best form of teaching. okay, the question is simple. This was also a discussion in my office and nobody got the right answer. and in every podcast, we get different inputs. So, the simple answer can be given to you. the different chat boards, like GPD, deep seek, GROC, all of them can compare to one of the 25 of May. everything changes. But as of now, how will you compare them? so, I will tell you an example. You said that we have relied on a lot to write this podcast. because we were writing the best podcast. if I was doing this task, then every particular thing, a different tool, a different AI, etc. if you want to ideate, if you want to create good ideas, then the complexity is very good. you can talk about the idea that will help you in the generation. why? because the data that is done is done. the data that is more focused on creating newer things. so, artists, entrepreneurs, ideas, creation, you have to work on white collar, you have to take out many ideas. but the complexity is more accurate. It is less hallucination than what we were doing. the biggest trend of chat GPD is that it is very versatile. so, if you have created ideas and you have said that I can discuss more about Nandini Manse. what can I talk about the day? that thing, you will have a good chat GPD. because, the data is the most. also, the most, the most, which is called reputation, to improve, is algorithm. and first move is advantage. it is a whole attention. if you have a research paper, which is very important to our listeners, in 2017, the most seminal paper was released, which was not published in Google. which is very technical paper. but, it also started developing in its basis. so, definitely, very big first move. it is not only advantage, but it has a lot of money. so, both things balance out. that is, it is hand in hand, and it is a very good product. now, after that, we will talk about deep seek. deep seek. now, as you said before, I will ask you which creator will do better or which one will do better? these are analytical questions. if you are asking Nandini, whether these statistics are correct or not? it is very good deep seek. because, what is the train? it is the first time that science technology, engineering, mathematics, can be more resolved. it is sometimes called chat GPD. it is sometimes called basic math. plus minus. here, there is a chance of deep seek. because, it is trained for this particular thing. so, it is very good in that. and if you want to know what is happening in real time, what is happening now? then, I will talk to GROX. because, it is integrated, like, the twitter data. so, what is it? it is very good in real time analysis. it is happening in the world. all of them are their strengths and weaknesses. one of the literacy part of us is that, we understand, who is the cast. but, as you have said, as on date. because, things are progressing very quickly. so, AI is a little space, like, the world, which is changing very quickly. I will say two or three things. first, I will say that, the world of tech is my friend. they have told us that, all companies are involved in a race. and, everyone has to reach AGI. maybe, multiple people will reach AGI. but, the first AGI of the company, will become very powerful. and, basically, less money. because, at the end of the day, all these capitalistic intentions are there. I would like to say something, that, the audience has to understand technicalities, and, without speaking loosely, please add to what I am saying, if you feel I am saying something wrong. to design a tool, many people work together. now, the resources of those people, the resources of those people, plus, the personality of those people, is that, a small piece of work, at least, is shown in that tool. yes, or no? as, everyone will say that, the croc is very good, it is in the form of a mix of personalities. so, like, if you apply a script and, you will not have a croc, then, how will the context be, that, the runbeer is like this? and, for the runbeer, you have to apply a script. and, you will give a charge of piti, and, you will write a croc, because, that is, a personalized better. croc is a Elon Musk, in the hands of Elon Musk, it is a Twitter X. and, Twitter X, on many other people, think about it, just by thinking about it, just by thinking about it, so, that is why, that tool is built up. so, croc is the most, just by thinking about it, ये आ मैäss।afáit aap Filemod nanka splag to na n MA ethanol lie? ते है भी मैंथरी भी इंत्स जम लोयनमें गिे सैंपतिनेग ignorance pots ही भी मैंने ng Banji इनी खे यênचि द entertainthai टरین नेशže है. सोओन में मिसारे दिशे है क।ha पर बढह Empress भ़़ं लोट किटबक।head टीशे है खे शे लोट के लोट क।ha टे नेशी आविग गे लोड़ाशे है. तो जे लोट क।ha टे लोट क।ha टे लोट क।ha टे लोट क।ha टे लोट क।ha टे लोट क।ha Shari Faa na Sharif. Kair koi bhi ho te. Utske momi baba thothe zadha strict hain. Tho hunau ne powe sahi bholak hain. Saad ba je ghar, maad labh saad ba je ghar. Aur baat gali nae dene hai to gali nae dene hai. Grok ko nye bholak hain. Grok ko bholak hain ki. Jyot te kua outpoti lakta na moos tlaikli ho na aaj hai ye. Vua outpoti dede. To chauward baaki baat hai. Yeh, pohda sa, i shii se bi nouans jai hain hain hain baat baat ko kairi te bhi hain ki India perspective se. To amerika me akshili even do subsa zada, yeh, modeldh maha sa nikal kaira raar aayin. Ethics or regulatory norms jai na bhi bhi bhi hain hain. Ki hummi nahi samjai. Madhla, nahi wapip. Agan, hain baat kiti chaina kaisa staid central driven hai. Ameerika on the contrary, ki ekto consumerism bhaat hai hain. But also, bhaat zada private player led hai. Aapipa sirav optimise karte hai profits pe. At least abhi ke jo player sa hai. Vua use pe optimise kare hai. I shi se bhi yeh ho raay ki. Hard boundaries nahi hai. Koi bhi. To same amerika se hi foundational model GPT ka nikala waay. Use ki hard boundaries aur ethical understanding underpinning alaq hai. Or grok ki alaq hai. Eke aur chatbot ko highlight kare na chaungar jai min hai. Jai min hai. Jai gughl nai. Gughl ka sabse bada advantage from a tech perspective hai gughl.com ki ithne saalo se um, unho ne insano ko ghearai sa jana hai. Surgis ko ghearai sa jana hai. Miri kyaal se chat GPT train ota hai bing sir changein paar. Initiali jehap chat GPT start oata da bing pae train oata tha. Use ki baat baat baat saara content, which is not bing bhi bauru karta hai. Jai min hai. Of course as you said uske paas pura access hai. Gughl ka. Tovo bhaa se build karta hai. Toosle aqurisi higher de tha hai. Hmm. Toh ye hai Jai min hai ka advantage ki aap ko pin point aqurisi ke saat kuthi jeh dehga. No. Ziaada aqurat dehga. Given aap ne enough context dia hai. Bo to bhaa bhi dehna pa dehga. Par. Har chatbot ke weaknesses bhi hoongar da. Chod hai field. Bhil kul. Toh. Toh deh sa weaknesses bhi highlight up kare sa. Haa. Jai jeh piti ka haa, sab sa bhaa bhi kne sa ki bhaa teknikal cheezha bhaa da chi nehi kar paa tha hai. Jai sa ki. Jai sa ki, jai sa ki, i ni aap ko bhaa bhaa bhaa nath kabhi kabhi kalat kaa dita hai. Gham plus minus bhaa bhaa nath kada hai. Kabhi ka bhaa jai jeh piti. Sharif hai per par par aaku nahi hai. Haa. Shai ad. Par aaku hai, matlab, asa kisne bhaa ki sira matzi par aaku haa kota hai. Matlab, asa kota hai ka bhaa kota hai. Shai. Hurt to beh se utna chha ni liktha par haa, shairi liktha hai ghanavajad te hai. organisations, but cheap, but heavily organised, deep seek gets to words, not moving, because they feel that our data will be shared and not sure. We also have a little geopolitical. As a user, I do not trust Deepseek, it's just my own personal bias, because, you need to know geopolitics also when you're using this product. The same reason, why are you banned from TikTok? Same logic. I will say that you can play with your own hands, just by learning, but don't reveal yourself. Yes, I have a general question, which I would like to ask you, if you are asking me about my maths problem, I am getting wrong. I will also do a good job, I write a lot of software engineers, I write code, I get wrong in the code, I write code in the code, I write it in the code, I also write it in the code. Those elements are good, they are also good. The strong suit is the same, I will give you personal data, economic data, best of personal financial data, I should be a little cautious. Of course, Deepseek has a lot of concerns about the haired data privacy, globally it is a very conversational, for the organizations and for the individuals. What about Gemini? Gemini is not that versatile, the more competitive it is. It is very high in accuracy precision, its algorithm is very strong, but it does not have that versatile, it will do as much as it is. It will not be that versatile, it will not be that good, the more conversational it is, the more effective it is. This was the fact, so it is not conversational, that is one challenge with it. The main challenge of GROC is that, again GROC, real time analysis is very good, I want quick and real time. It is very good, but GROC has the biggest challenge with it, by the way, the most good thing with the charge PT is that it has a lot of users. So, why is it so many users and not so many users, it is getting a lot of feedback and it is getting faster and faster. And the other people have made a lot of tutorials, documents, which you can learn from GROC. GROC has not yet come to a level, they are using very specialised things, and they are generally using the organization. Individuals are using very less, but you have to do social media analysis, as an entrepreneur, and GROC is very good. But if you want to learn how to do this, or if you want to help you, then you will not get many resources. So, now GROC has the biggest drawback of the present, I think I am a teacher, that if I recommend someone, they will not get enough resources to study about it. I am sure that all these companies have made a lot of effort to make their weaknesses available, and they are probably working on it. Yes, you can improve three things, or you can better your data. I am saying better, I am saying that you can better your data, better quality, better quality, better quality, better system, better. Second is that you are improving your engineering, the way I am learning, how fast that learning is, how long that time is being used, you can better your data. Third is that you are incorporating human feedback, so many people will use you AI, you can capture human feedback, you can evolve these three things. Gaur, and our end users, who are listening to this podcast, basically you have given three instructions, first, please categorize yourself in those four categories. Then, basics of AI literacy is known, which is the point of this podcast. Yes, this is all AI literacy, we have talked about all these. Okay. Third point, you said, use chatbots, just to know what is possible, use chatbots. Learn by doing, play with it. Then, dedicate one hour a day. So, very specific AI comes. There is a website, which is called "Deads and AI for it". You have to do any task, first check it, there is an AI that exists. You have to create a script, create a presentation, create a visual, create a script, create a song, create an art form, for all these things, there is an AI that exists. Now, I am not saying that you are talking about art forms on basis of your art forms, but we are talking about creative people. Now, many creative people have to do story boarding. Okay, story boarding is not their final output. What was the story board? Essentially, if you want to shoot something or move something, then you will need to create something in the concept sequence. You need to create something for these things, animation, etc. You can use AI to create quickly, you can use your thought to structure it. Okay, if you are a script, you can use the first draft to create a structure for AI. This way, our human input will definitely remain, but it will remain important. We will create more creative things. We will also create more creative things. So, we will only create more creative things. So, we only create more creative things. Everyone, everyone, everyone, gravity, so, many moments were over there. Because, one thing was that a lot of people adopted this style. Because of this, they adopted a lot of AI tools. But because of this, they adopted a lot of AI tools. So imitation is the biggest form of flattery. spesific tools ke saad playkar ke dek shukkao ki meri domain ke liye jo important hai bovali tools ke se kaam kar tain. Okay. Would you say ki manlo google ne abhi geminai ba na hai ba na hai. So they've got that basic chat board. Abhi, ushi chat board ke saad baet kar saar prom tenge na hain. Hazar proms deri ho sa hai. Ha. And ini proms ki vaa sa sa abhwek tool banh ju ka. Correct. Inko bol tain saar, paila aap ne bola geminai ho ga yaa jaaj gpto ga yaa. Aay saar ki saar, vadeh foundational models ini bolteh. India k abhi aap na koi foundational model na hai. But foundational model deep seek chaaina ga first foundational model tha. Inke upper aur inke vajar se, boha dsare use cases banh sakti hai. Jist ko ki, jase ki aap ne bola prom tenge na hain. Use kar ke spesific task ke liye jiza manadia. Aur us task, mele wa task aise bi ho sakti ki meri saat pokar khe lo. Yaa abhwek tao ki probability gittna itin pati me jitne ka. Waise at ask bi ho sakti hai. Lekin wo ik spesific task ke liye optimise de. Ok. Practical na zariye se. Audience ke li. Again, audience is career oriented. Aap unke saar, char aise tuls share kye je. Ok. Jo bhaat useful rangne, unke karyo hurs me. Ok. Mera favorite notebook elem hai. Mere aap ne students ko bhi ae bataati hume bhaat zadao sa ista mal bhi kata. Unko not book elem ek hai. Sekend abhi jis tana ke walme amraethe hai. Bhaat zara time hume report generation of presentation making aur aise bk nao to to to gama dot aay kark ek tool hai. Jis ko ki. Bhaat zada, chhi presentations bhaatatay hai. NAPKIN dot aay kye me ne ik palei mention kye tha bhaat aat cha tool hai, jha mge aap ne thot sko kus ktruksha kye. Mata ki, me ne abhi itti saare kise bhol di hai, in this podcast, Aap maa bhaat saare kise naapkin dot aay me daal doo hong. Mujek bhaat aachha flow chat aur visual de de. Bhaat cha se klap kare de da aa caise to ko jau important hai. Jio nai hai, important aise karkhe, to wo ek bhaat ii bhaat ii interesting tool hai. Mujek aise lakta ki, ek visual tool de na bhi bhaat ii important hai to, Samp thing like mid-jurni hai, dali jo ki, aap ki kise bhaat aay wai naaritiv ko ek visual me kriet kare de. Kade gha de, de, they are interesting for tools to try. Jis aare content creators, agency professionals kye le, It's a very fun activity to use visual generations and all that. Priyap, ghar bhaetai vi karsakto. Bhaat saare liogok hi le, like, bhaat saarei research aise kikhe kise learning joti hai, Bhaat ii bhaat ii prouh bhaat ii agar hama sa visual form me karein to. So, agar haap visual s kriet karo kisi konsept hi. Mujek huy physics ka bhaat difficult concept kriet kar naay me. Uso ko bhaat naadhu haga rapna prom kuchu visual aay ga. Mere dimagme na hameisha me bhaa visual aadrak paui. Shaid na bhaat oo concept bhaat oo visual ki vajhaa se muje bhaat oo concept hi aad haasak sa kya. Gaurat, tiny break from this conversation. Bhaar jao am bhaetai aapne Chinese students ke bhaar me kuch kaha tha mujen. Ok, doh chisapat aay hai. Pelleh to loosely deep seek nam kai AI bot released aata janta ke le, I think two-three months before. NVIDIA ke stocks plummetu aay tha aski bhaa saay. Uso ka bhi context di ji hai. Aay, this is a Chinese company. Correct. Aay, second, joo china me bhaat chaay hai. 6-hals ke bhaat chaay. Une ke bhi life me AI kai element hai. Voh bhi bhaat aay. Kuki honesty china has become kind of a world hero. Correct. To, ye doh chisapat aay tha aakhi logo ko, Konseksa majaa jaa. Tika. To, deep seek aane se bhaat aay chaaj jipati aay tha. Tika. To, dunia ko pata tha ki. Kya hauta hai. Aay, kya hauta hai. Aay, aayla lam, je se bholne large language models ki kya hauta hai. Tika. Likin. Bhaat kaam luku ko pata hai ki, aayla lam ko train kardne ke le. Aay chaaj jipati ko train kardne ke le. Bhaat zada paisa lagata. Kuki, usko train kardne ke le. Hame chaiye ho te hai. GPUs. Tika, judge pe ki memory store ki jaati hai. Tika, jipati hai. Jipati hai. Tika, jipati hai. Kuki, kya hauta hai. Kuki, kya hauta hai. Kuki, kya hauta hai. Kuki, kya hauta hai. Kuki, kya hauta hai. ایک زیادہ تکیدی تکشن میں لاتیکے اسی کی دارا ایک اور ایک زیادہ تکیدی جس کے اندر وہ ساؤن سن کے بات آتیس کی واتا اتی چنسیز کی کسی کو لنگ پر آبلا ہے سی او پیدی پر آبلا ہے that was also one other tool that was created right so یہ ولم ہاتھ اپسے فکیوز کس کے طول جا جاتی ہے جس کو کی دیزائین کرنے کے لئے صرف ایک پرامت انجینیر کی رکویر نہیں ہوتی کیا کی پرامت انجینیر صرف پرامت دی رہا ہے ڈکہ تو میں ایائی آرکی ٹکٹ کی ضرورت ہے جو یہ بی بتاگہ یہ دیتا iیان پڑٹینٹ ہے جو یہ بی بتاگہ یہاں سے یہ دیتا بارو کرو جو یہ بی بتاگہ کہ جب تم لن کر رہا ہوں سے کتا دیکھا تمہارے زادہ iیان پڑٹینٹ ہے جی جو فلو چاٹ آپ سمجھا رہوں اس پاہٹھتک جو بھی باتیں ہوں یہ اپسوڑ میں وہ ساہری آپ کے ہاتھ تمیں The users can handle it themselves. یہاں پہنچنے کے بعد یہ پہلت جل ہے کہ سمجھنے رہا ہی آکی ٹکٹ کی آئی انجنیور in your office. اب بن سکتے ہو وہ تو I will say two things if you are a counterpreneur, تو آپ کوئی کی آئی انجنیور آئی آکی ٹکٹ کی آئی دزائینا اور ایثکس کنٹرولہ یہ ہائیر کرنے کی ضرورت پڑ سکتی ہے. اب تو پرامت انجنے رہن کے بھی جو بسے ہیں. تو پرامت انجنیور ایک ایک تو ہم بولے کہ میں ایثا ایوزر کتنا اچھا پرامت دیسکتا ہے. اب ایسی ایسیانز اٹرینگی اگر اٹ کی کیا میں پرامت انجنیور اس کو ہائیر کر کے بیٹھر پرامت سکریٹ کر رہا سکتے ہیں. دیس بیٹ کی ہم ایائی ایجن چاہی ہے اگر آپ انٹرپنا اور آپ ہائیر کر سکتے ہو. پت آپ کو سے بہت زیادہ پیسے دینے پڑے گے بھیکوز ایک نیش ہے. ایائی ایجوییی دیسائیناز ہوتے ہیں دیمیکہ لٹھ اف مانی. اگر آپ کا بس 0-2 ایرس کا ایک سپیرین سے تبھی آپ ایک پندرالاک تک کماسکتے ہو. اس میں ساتھ سے پندرالاک. اگر آپ یہ 3-2-6 اس کو کر دوگی تو پندرہ سے پینٹھر سکتے ہو. یہ آپ 7-10 اوز توڑے ایک سپورٹ لیگل پر چاہلے جاؤ گے, تو you can go upwards of 1CR etc. also depending on company and exactly on a use case. -So, these 97 million new jobs will come out. -Yes, in this space. A lot of them are in this space. Because before, they don't do any prompt engineers. They are the computer engineers who will be able to understand the prompt engineering. Software engineers, database architects and who will be able to go there. So, if you are able to get a 16-18 year old, can this be a very lucrative career? Definitely. You also mentioned the same thing. The first thing they have said is that they have done the same thing. They have done the same thing. The tech is the machine learning engineer. The tech aspect of this. They are the lucrative jobs. Because the job is lucrative. It's a demand supply. The demand is very high. Because we are saying all these things that were in 2030. We have been doing this for 20-47 years. India has a very big country. AI is aligned with all of them. And Niti AI has also talked a lot about this. They have created a strategy for it. We launched the mission in India. We have launched 10,000 crores as a government for AI, synergies, public infrastructure, digital public infrastructure. We have put in money, which is giving you the government classes. Please come to India and learn from the AI. Why are they doing all these things? Because they are not a very demanding supply. They have enough loans to do all these things. This is definitely the most lucrative career that you can build. If you are very young right now, you should really. If you want a career that will increase for 10 years, I think this is your place to be. And as an entrepreneur, where do you meet such people? LinkedIn? So LinkedIn, as well as LinkedIn, has recently served. They had said that 80% has increased. 79% to be precise. It has increased. Job searches. People are searching for this. I want this skill set. But not the people. Right? So you get them through LinkedIn, but also through some great colleges. Now have started doing courses around it. So maybe graduates from there. Maybe there are people who are trying to pivot their careers. The software engineer, the computer engineer. They are trying to pivot and come to this side. Those people. Those who come to this background, from the statistics background, or mathematics background. Those people who work for the applied, go to the ML engineering side. So those are the categories of people. Good point to end the episode. Because after this point, we will talk about advanced AI. But I feel, in many ways, the basics don't know. Because the best AI content is in English. That's why I wanted to do this episode in Hindi. I hope that people have helped. I want to say one thing. You and I met through our common friend Pratam. Pratam, I know, is very old. And we always talk about that the educational institution is available in the middle of traditional institutions. It is the tenth or twelve standard. It is very difficult. It means above the world's standard. After that, the graduation undergrad and post-grad study in India is very good. If we change the education system then it will be the entrepreneur. Pratam is an entrepreneur. And those people who are connected with them know that they are cut from that same cloud. No, absolutely. I think Pratam is a visionary when it comes to thinking about education and how we should think differently. And I think in this case, our great institutions are very legacy in our country. The way students and students get a KIT, I will tell you. They will meet you in a very difficult world. In a classroom, there is a more intelligent group. But the problem is that we keep on in this thing. What is our curriculum? Our government has said that we have to study these things. What is the education board? We are not able to connect with what is happening right now. I mean, we have seen many courses like this which are going to be called AI courses but they have just packaged it pretty. That means they have taken the existing courses and just wrapped it well and put a class A, A, A, A, A in the course. But generally, it is not about AI. So I think when we are thinking of changing the education and for that reason, we are talking about government because any policy has the ability to introduce AI literacy in schools. Many 2300 schools have also adopted that AI literacy is at a high school level. Undergraduate level, some of the IT's, Nagu Bharti has launched the courses which we have done in the data science. But there are many such courses which are pushing AI narrative not just engineering perspectives but engineering or entrepreneurship perspectives. How do you build businesses in AI? How do you make money from AI? How do you use AI for social welfare? Those conversations are still going on. That means we want to more. Do you think that we will record the sequel? Is this the same cover? Yes, it is very much. And we want to go into specific specifics that now you all have to do this. What else can we do? What can we do with the consumer industry? What can the government do? How can we change the world? What can we do in AI? Okay. So Nani said, thank you. It was fun. Bharat was your priority. That's what I would like to say. And I know that many AI careers will start with this podcast. Thank you so much. So friends, this was the episode of today. In this episode of Sequel, we will learn more about the AI from a more detailed perspective. If you are an entrepreneur, if you are a working professional, if you want to know more about the AI agents, if you want to start a business in the world then this episode will be more valuable. In this episode, we have covered the basics. And I will also explain that in the next episode I will also explain that in the next episode India needs more people like Dr. Nandini Make sure you support her All her links are given down below And until next time, thank you, lots of love Jai