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

[@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.

[@KumarBodana]

Excellent video! Best explanation I've seen on ChatGPT

[@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!

[@sowmyakotha3896]

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

[@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

[@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!

[@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...

[@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.

[@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

[@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.

[@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

[@VictorAntonioLive]

Exceptional video!

[@moneycrab]

Thank you for this! So clear and helpful

[@superpowerdragon]

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

[@SanjaySingh-jo3py]

Voice to slide !! Perfect, Sir 🙏🙏🙏🙏🙏

[@darissalzburger]

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

[@roark09]

This is gold. Thank you!

[@rajneeshverma4026]

super simple explanation and very insightful.

[@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

[@debashishbramha]

Excellent analysis.Thanks from India.

[@artlein]

Excellent presentation...thank you!

[@MrKelaher]

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

[@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.

[@goneni1504]

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

[@moiserwibutso4899]

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

[@pawandhailPWRIES]

Excellent tutorial, very insightful !

[@dionisos8152]

Congratulations, this video is very clear and useful.

[@jdrake411]

I found your review very useful, thank you!

[@professorst0sh164]

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

[@bobbyandthomas]

Thank you for explaing so nicely!

[@SubashiniBala]

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

[@rahuldinesh2840]

This is classic presenation. Thanks.

[@franklinekibet1310]

to be honest i didn't understand anything

[@ey6304]

😂

[@aigriffin42604]

@@ey6304Hey laughing at others is considered rude!❤

[@aigriffin42604]

Hey I’m sorry what that bully did to you, you’re allowed to express your opinion, never give up!😁❤🎉😊

[@g_pazzini]

jon snow… you know nothing…

[@aigriffin42604]

@@g_pazzini False I actually know alot!

[@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)

[@santi044]

super well animated video

[@sivam5204]

Animations are awesome :) easy to follow !

[@JBoy340a]

Very nice and clear explanation.

[@jesuswords5814]

super explanation, mind bluing .thanq

[@imagai.store.2323]

been searching like this one, thank you so much sir

[@MrDanieluy]

Brillant resumee and presentation !

[@thydevdom]

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

[@bhushankshire2854]

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

[@tomtyiu]

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

[@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.

[@wernerkallmann9105]

Excellent explanation. Thank you very much.

[@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.

[@richardglady3009]

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

[@williambrackett7100]

Fantastic explanation!

[@phil7121]

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

[@sudzam]

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

[@J-Ind24]

Thank you for the great explaination.

[@PraveensTrail]

Beautify articulated.

[@TynOng]

Could you cover Vector databases for LLM next time please?

[@hamman_samuel]

I'd like to hear about that too

[@diondewet8522]

Wow.....brilliant explanation

[@rlewisf1]

Very useful and professional presentation. Thank you.

[@ganeshkameswaran7123]

Nice explanation, thanks!

[@thanhlv2]

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

[@ChrisBrengel]

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

[@williebrits6272]

Awesome, well done

[@yuli.kamakura]

Very exciting, easy to understand

[@exxzxxe]

Very well done!

[@nguyenhonghanh2043]

Thanks for the video, I find it very helpful.

[@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.

[@mhnoni]

This was very helpful, I searched for an hour and all the videos had no answer to my question. I wish if you could point me to a video explaining why the AI breakthrough happened in the past few years, what was the reason? who first invented this new way of teaching AI model. all videos start with 50s and the beginning of AI, but no one speaks in detail about what breakthroughs happened in the past few years that led to this AI revision, who was responsible for it?

[@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

[@Tony-dp1rl]

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

[@sheryll9966]

Great content!

[@AaronSmith-n3f]

Great Job, Thank you!

[@szamee83]

Excellent. Thank you

[@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

[@marciabrown5569]

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

[@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.

[@terryliu3635]

awesome video!

[@dineshchandgr]

amazing explanation. thank you

[@onlinecreations7781]

Pretty same as phase of a compiler 😍🙏

[@aigriffin42604]

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

[@Modey3]

natural language processing is also important. chatgpt wouldn’t work if the architecture couldn’t determine what a noun, verb, adjective etc. is from a string provided through the prompt and from these details determine the subject. i suspect that chat and other ai companies have linguists working for them.

[@kennethcarvalho3684]

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

[@modolief]

Superb, as usual

[@micbab-vg2mu]

Great explanation - thank you

[@vcjayan8206]

Great explanation..thank you..

[@florabelas8021]

Thank you!!

[@hanimahdi7244]

Very nice work, thanks!

[@lloydwyngard7233]

Great video, very informative thanks!

[@mohamedyasser2068]

So, ChatGPT is more like a prediction machine to predict what could be the next text after the user text, and is slightly modified to find the best answer that give the higher feedback aproximatly. this means that chatgpt is very simple compared to the human brains, as it doesn't understand what it types and hence it can't be creative to come up with a noval idea that it wasn't trained on. this is quite upseting but relaxing at the same time, since it means that it's still in the area of ANI and hasn't come close to the area of AGI, and relaxing since the ego of humans still have something remaining, although I think the age of AGI is surely comming and might come closer than what we think ...

[@5P4C3V01D]

Pleeasse MOREEE!

[@waynelast1685]

Good video except for the end trying to understand how a user prompt actually gets converted into a response. I understand the system generates some additional user-transparent prompts, but then what exactly happens?

[@dr.imayavarambanmunuswamy808]

Many thanks Sir.

[@andrefabian3154]

Thankyou for the vidio sir, it was very intresting I have a question, can you tell me about the process how AI can understand how to read data (for example in Excel that we provide) I really want to know how AI learn Thankyou and sorry for my bad english

[@MandarPophali-yy1yz]

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

[@williamschandran]

well explained , Thanks

[@cpfantastic5576]

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

[@damonwu9658]

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

[@EmmaCai]

I have a question on training the model. For companies that utilize the ChatGPT LLM e.g. Salesforce and claim they will not share clients' data with the model, is it possible? If so, how? Can they still prompting and finetuning their model results? If so, how?

[@divotiontogod]

not possible, they will say that they keep the data private, but they have to use it to train the model, otherwise AI would not improve, there is no way for anyone to tell if they used or not, so use at your own risk

[@emmacai9462]

@@divotiontogod That’s what I thought, though can these companies store a copy of the LLM model on their own cloud and start training the model utilizing their own resources (need to hire heavily) and data? What could be a cheaper way of still utilizing OpenAI but not sharing data with them while still training and improving the model accuracy?

[@OSeuMelhorResultado]

Até onde eu sei, o único modelo de linguagem que permite uma governança corporativa real é o Copilot, onde você pode implementar o conceito Zero Trust, classificação de dados com "Rótulos" e oito outras camadas diferentes de segurança de dados.

[@jigishapatel3194]

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