How ChatGPT Works Technically | ChatGPT Architecture

[@sameerizaj5458]

Sir i'm being very honest your 5 to 7 minutes video always taught more than the week of study,these viusal are so helpfull and also i love the fact whatever word you use you first explain the meaning behind that make's thing more easy to understand

[@happyruimi]

You should probably drop the course if you learnt more in this 5 min video than you did in 4 weeks...

[@韩永翊]

@@happyruimi People love learning superficial stuff that makes them feel smarter lol

[@omgmaw]

Sar sar sar

[@softwareengineer8923]

@@韩永翊I don't think, that's the issue here

[@Erik_Fenety]

Perplexity largest LLM done by one person on in own. ErikAFenety

[@CppExpedition]

Love the way you animate the presentation! Everything went so smooth and clear!

[@ramaati18]

Wow! The best animation in slides i have seen in any tutorials! Every word you utter during you presentation is golden and easy to learn easily and quickly!⭐️⭐️⭐️⭐️⭐️!

[@AbubakerMahmoudshangab]

What app to create these animated graphics

[@KumarBodana]

Excellent video! Best explanation I've seen on ChatGPT

[@rubbish9231]

As a software engineer I learned how to become a good chef. I asked gpt for it's implementation and informed me well

[@betweenprojects]

I am amazed by the results. A great wordsmith/people pleaser but factually about as reliable as a first year undergraduate in a bar.

[@space_btwn_notes]

pretty much recreated the typical politician

[@satychary]

As always, CLEAR AS THE BLUE SKY - Alex, EVERY one of your explainers is pure gold, including this one! Thank you for making this.

[@ferdous_khalifa]

Thank you so much for creating this insightful KZbin video! Your hard work and dedication to providing quality content are truly appreciated. You’ve managed to convey the information in a clear and engaging way, making it easy for viewers like myself to understand and enjoy. Keep up the fantastic work, and I’m eagerly looking forward to your future videos!

[@jntaca]

I follow a lot of divulgation tech channels. You are the most clear and concise of all. Thanks for your work !

[@henriquedomingues3800]

Can you do a list of this channels? Thanks!

[@OsamaAdel]

I turned to be more complicated than I first thought. However this is natural, since its capabilities are fascinating and growing from day to day. Very nice video, thank you a lot.

[@sowmyakotha3896]

Thank you for the explanation. Visuals are really helpful and easy to understand.

[@jonosutcliffe1]

The best summary available. I needed a good summary for non engineers about how it works and I wish I'd found your explanation before creating my presentation. Very nice work, thanks!

[@chrismachabee3128]

This is a very good video. It is the best nuts and bolts video I have seen and you've about think I have even heard of and I've been listening to everything I can, so fine job, well done and thanks.

[@OneAndOnlyMe]

Great explanation. As a computer scientist GPT is really not that mind blowing when you know that behind the scenes it's a giant data model and algorithms. It's magic to many non-computer scientists, but we can distinguish science from magic.

[@herrbonk3635]

Really?? I'm a "computer scientist" of sorts myself (CPU logic designer, compiler writer) but doesn't get sh*t from this. The video does not really explain anything "technical" (despite what the title says), only hyper loose analogies that tells me nothing.

[@OneAndOnlyMe]

@@herrbonk3635 As a computer programmer of 40+ years, AI is not some great mystery to me; large data models and quite simple algorithms at the core of it, combined with the computer capacity we now have. The theory has been around since the 1940s.

[@herrbonk3635]

@@OneAndOnlyMe That wasn't the point. Neural networks are no mystery to me either. My complaint was that this guy doesn't explain anything in concrete terms. It was mainly other models in the 1940s and the better part of the 1900s though. More focus on recursive list processing (Lisp) and logic programming (like Prolog).

[@OneAndOnlyMe]

@@herrbonk3635 I don't think the point is to explain in concrete in terms, more to just explain concepts and principles.

[@messiisthebest]

It is all about attention mechanism

[@debashishbramha]

Excellent analysis.Thanks from India.

[@darissalzburger]

I rarely comment the videos, but I had to comment yours. Amazing explanation and visualization. Thanks

[@FlareGunDebate]

Bitwise operation, if/elseif/else, and neural network are orders of complexity in flow control. ChatGPT is huge in terms of parameters but it isn't any more sophisticated than modern translation software which relies primarily on tons of user data.

[@divotiontogod]

right, most people fail to understand and see how chatgpt is not able to for example write a clear code, it generates always a buggy code, and one has to elaborate more on minuscules of requirement for it to change it answer to a more better one. plus its answers are not mathematically correct, ask a few complex math questions and you will know! AI can never beat humans, ill iterate, even the dumbest human!

[@williamtim5893]

The information age creates the data for the AI age

[@FlareGunDebate]

@@williamtim5893 yeah OpenAI is neither open source nor artificial intelligence

[@SubashiniBala]

Pretty insightful content !! On the side note, I liked that you have brought up an example with Indian prime minister

[@SantoshNair1]

7:00 - there is a mistake in the graphic at this mark, where the prompt should have been a finance statement/question, but instead it remains the roses poem from the previous example. Probably a copy paste error.

[@professorst0sh164]

Clear & Concise overview with helpful images and analogies. New sub here, looking forward to your other content.

[@VictorAntonioLive]

Exceptional video!

[@SanjaySingh-jo3py]

Voice to slide !! Perfect, Sir 🙏🙏🙏🙏🙏

[@arthurcolle2778]

Excellent video, covers all key concepts - RLHF, PPO, etc... and how they relate to the GPT models. Great content! +Subscribed

[@jeroenvermunt3372]

Those are concepts for reinforcement learning, I missed the key concepts of the LLM itself. I found out via other sources that the actual key concept of the LLM itself is multi-head attention

[@rajneeshverma4026]

super simple explanation and very insightful.

[@renatoigmed]

Even though I don't understand English perfectly, I managed to get a good idea of how it works. it is much more enlightening than the lazy analogy that they just say "ChatGPT talks about everything but has no awareness of what the subject is about". But imagine if there was...

[@artlein]

Excellent presentation...thank you!

[@moiserwibutso4899]

Thanks for this amazing explanation. The visuals are so fantastic 👌

[@dionisos8152]

Congratulations, this video is very clear and useful.

[@amthephoenix007]

🎯 Key Takeaways for quick navigation: 00:36 *🧠 ChatGPT is powered by an LLM (Large Language Model) like GPT-3.5, trained on vast amounts of text data to understand and generate human language.* 01:56 *🛠️ GPT-3.5, with 175 billion parameters, is trained on 500 billion tokens of internet data to predict the next token in a sequence, generating text that mirrors internet content.* 02:54 *🔍 Fine-tuning ChatGPT involves a process called Reinforcement Learning from Human Feedback (RLHF), akin to refining a chef's skills based on customer feedback, making the model more aligned with human values.* 04:53 *🔄 ChatGPT's fine-tuning involves creating a comparison dataset, developing a reward model based on feedback, and using Proximal Policy Optimization (PPO) to iteratively improve the model's performance.* 06:24 *💬 ChatGPT incorporates conversational prompt injection to maintain context, primary prompt engineering for conversational tone, and moderation API to warn or block unsafe content, ensuring a safe and tailored user experience.* Made with HARPA AI

[@deepflyball]

New sub here. Thanks for such a clear explanation. I really enjoy the way you explain things and the graphics you use. Looking forward to more videos. Happy New Year.

[@CSCoreDecoded]

Man you explained everything in a simple and clear way. Thank you very much for this helpful content

[@tommushrom5929]

Build it then.

[@CSCoreDecoded]

@@tommushrom5929I'll

[@MrKelaher]

Great video, helps to clear up some confusion by "going behind the curtain"

[@goneni1504]

Excellent. Concise but thorough and clever. Thanks a lot. Love the burger analogy.

[@roark09]

This is gold. Thank you!

[@sivam5204]

Animations are awesome :) easy to follow !

[@moneycrab]

Thank you for this! So clear and helpful

[@thydevdom]

A few months ago I was looking exactly for this kind of video. Thank you!!!

[@jdrake411]

I found your review very useful, thank you!

[@philipsun4834]

to be more specific, the minute on 1:55, Token ID is the vector, instead of Token, right? as Token can consist of alpha-numeric value, but the vector is purely the numeric with digits only. that is why the vector database is coming as the storage of those vectors for searching and indexing.

[@pawandhailPWRIES]

Excellent tutorial, very insightful !

[@thanhlv2]

Great video. Keep doing your great work 👍👍👍👍👍

[@santi044]

super well animated video

[@bobbyandthomas]

Thank you for explaing so nicely!

[@imagai.store.2323]

been searching like this one, thank you so much sir

[@richardglady3009]

Thank you very much for this great explanation. As a non-computer expert, the information was well presented and very understandable. Thanks.

[@jesuswords5814]

super explanation, mind bluing .thanq

[@superpowerdragon]

can you do a video on how Stable Diffusion work technically?

[@sudzam]

Wonderful explanation! Just enough detail to explore sub-topics in detail.. Thanks.

[@JBoy340a]

Very nice and clear explanation.

[@Tony-dp1rl]

Knew this was coming on your channel, great little intro to the topic for sharing with people, thanks.

[@MrDanieluy]

Brillant resumee and presentation !

[@tomtyiu]

wow, now I totally understand how it works technically. Thanks

[@williambrackett7100]

Fantastic explanation!

[@phil7121]

Sahn is the Michael Jordan of giving ELI5 explanations of complex things

[@wernerkallmann9105]

Excellent explanation. Thank you very much.

[@kennethcarvalho3684]

What I don't get is where is all the weights data is stored after training a neural network for image classification?

[@nguyenhonghanh2043]

Thanks for the video, I find it very helpful.

[@rlewisf1]

Very useful and professional presentation. Thank you.

[@J-Ind24]

Thank you for the great explaination.

[@williebrits6272]

Awesome, well done

[@mehediazad1780]

Sir I'm being very honest your 5 to 7 minutes video always taught more than the week of study, these visual are so helpful and also I love the fact whatever word you use you first explain the meaning behind that make's thing more easy to understand(2)

[@sheryll9966]

Great content!

[@ganeshkameswaran7123]

Nice explanation, thanks!

[@Larry21924]

This content is a guiding star, revealing new pathways of understanding. A book with parallel material touched me deeply. "The Art of Meaningful Relationships in the 21st Century" by Leo Flint

[@freekyninjacat8207]

Question: Where did you get the information about 06:30 (conversational prompt injection, primary prompt injection etc.) from? Is there a scientific paper on these topics?

[@Richieexpert-cg3dx]

Hello friend, I noticed that you want more info about how ChatGPT works, let's discuss more and you will know more.

[@exxzxxe]

Very well done!

[@aigriffin42604]

Could you please post something that is more up-to-date to this year thanks!❤🎉😁😊

[@rahuldinesh2840]

This is classic presenation. Thanks.

[@terryliu3635]

awesome video!

[@bhushankshire2854]

amazing. what tools do you use to make these videos??

[@diondewet8522]

Wow.....brilliant explanation

[@ChrisBrengel]

"Tighten your seat belt and enjoy the ride." We live in incredible times! Technology is improving exponentially.

[@L_Christ_BR]

Estou impressionado com a tecnologia utilizada pelo ChatGPT-4! É fascinante como a Inteligência Artificial evoluiu nos últimos anos, permitindo que máquinas possam entender e responder às nossas perguntas de uma forma quase humana. No entanto, é importante lembrar que, assim como qualquer tecnologia, a IA também pode ser perigosa. A capacidade de aprender e evoluir rapidamente significa que as máquinas podem se tornar imprevisíveis e tomar decisões que podem ser prejudiciais para os seres humanos. É crucial que os desenvolvedores de IA levem em consideração a segurança e a ética em suas criações, para que possamos aproveitar os benefícios da tecnologia sem comprometer nossa segurança - Texto criado pela IA

[@PraveensTrail]

Beautify articulated.

[@yuli.kamakura]

Very exciting, easy to understand

[@BCubDelta9]

min 6:33 Could you please provide the paper for the "Conversational prompt injection" term?. I am currently citing in-context learning and prompt learning but this one is new for me and seems helpful.

[@hanimahdi7244]

Very nice work, thanks!

[@AaronSmith-n3f]

Great Job, Thank you!

[@lloydwyngard7233]

Great video, very informative thanks!

[@damonwu9658]

Thank you for sharing, great stuff, and langchain next?

[@modolief]

Superb, as usual

[@kevine.167]

Thanks for your super interesting videos. isnt there a mistake at 7:13? Pre-trained-Model -> N should lead to return "sorry,..."? best Regards

[@TynOng]

Could you cover Vector databases for LLM next time please?

[@hamman_samuel]

I'd like to hear about that too

[@onlinecreations7781]

Pretty same as phase of a compiler 😍🙏

[@szamee83]

Excellent. Thank you

[@marciabrown5569]

I really enjoyed your analogy. Though it is still over my head I do think I understand a bit more.

[@dineshchandgr]

amazing explanation. thank you

[@williamschandran]

well explained , Thanks

[@Masher2025]

Stop supporting it, it's the end of humanity.

[@nagu890000]

At 7:05 , was the user's prompt supposed to be a question about stocks / finance ?

[@NaterFernat]

So, ChatGPT is basically Akinator on steroids.

[@fadi77fadi77]

wrong example for build constraints at 7:01? Or did I misunderstand how you provide constraints with a user prompt?

[@ParagPandit]

I asked ChatGPT about RLHF and PPO, and it said, this is not how I was trained. 😅😅

[@micbab-vg2mu]

Great explanation - thank you

[@bitsnbytes4406]

Great video! Thank you very much.

[@vcjayan8206]

Great explanation..thank you..

[@jigishapatel3194]

Nice video, I believe the 7:01 line Stock/Finance prompt is not correct and its copied from the previous screen.

[@homersimpson1199]

At 1:30 he mentions the amount of parameter for the models. Does anyone know why these are bounded according to the llm used? And how do these numbers come up?

[@inber]

Great explanation, much appreciated. I learned a lot.

[@MandarPophali-yy1yz]

This is great summary. Can you have quick summary on differences between BARD and chatGPT?

[@pelimies1818]

What is typical energy consumption for one inquiry? For google search the consuption for one inquiry is around 24 hours usage of 2W led lamp. So if you make 10 inquiries per day, it uses around same energy than illumination needed for a small house.