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
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!⭐️⭐️⭐️⭐️⭐️!
Thank you so much for creating this insightful TH-cam 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!
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.
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!
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.
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.
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.
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.
@@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.
@@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).
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.
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!
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
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...
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.
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
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)
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.
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?
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?
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.
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
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?
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
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
You should probably drop the course if you learnt more in this 5 min video than you did in 4 weeks...
@@happyruimi People love learning superficial stuff that makes them feel smarter lol
Sar sar sar
@@韩永翊I don't think, that's the issue here
Perplexity largest LLM done by one person on in own. ErikAFenety
Love the way you animate the presentation! Everything went so smooth and clear!
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!⭐️⭐️⭐️⭐️⭐️!
What app to create these animated graphics
Excellent video! Best explanation I've seen on ChatGPT
As always, CLEAR AS THE BLUE SKY - Alex, EVERY one of your explainers is pure gold, including this one! Thank you for making this.
Thank you so much for creating this insightful TH-cam 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!
As a software engineer I learned how to become a good chef. I asked gpt for it's implementation and informed me well
I am amazed by the results. A great wordsmith/people pleaser but factually about as reliable as a first year undergraduate in a bar.
pretty much recreated the typical politician
Thank you for the explanation. Visuals are really helpful and easy to understand.
I follow a lot of divulgation tech channels.
You are the most clear and concise of all.
Thanks for your work !
Can you do a list of this channels? Thanks!
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.
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!
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.
Exceptional video!
Excellent analysis.Thanks from India.
I rarely comment the videos, but I had to comment yours. Amazing explanation and visualization. Thanks
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.
Clear & Concise overview with helpful images and analogies. New sub here, looking forward to your other content.
to be honest i didn't understand anything
😂
@@ey6304Hey laughing at others is considered rude!❤
Hey I’m sorry what that bully did to you, you’re allowed to express your opinion, never give up!😁❤🎉😊
jon snow… you know nothing…
@@g_pazzini False I actually know alot!
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.
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.
@@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.
@@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).
@@herrbonk3635 I don't think the point is to explain in concrete in terms, more to just explain concepts and principles.
It is all about attention mechanism
Pretty insightful content !!
On the side note, I liked that you have brought up an example with Indian prime minister
super simple explanation and very insightful.
Congratulations, this video is very clear and useful.
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.
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!
The information age creates the data for the AI age
@@williamtim5893 yeah OpenAI is neither open source nor artificial intelligence
Thanks for this amazing explanation. The visuals are so fantastic 👌
Excellent tutorial, very insightful !
Thank you for this! So clear and helpful
Animations are awesome :) easy to follow !
Excellent. Concise but thorough and clever. Thanks a lot. Love the burger analogy.
Excellent video, covers all key concepts - RLHF, PPO, etc... and how they relate to the GPT models. Great content!
+Subscribed
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
I found your review very useful, thank you!
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...
This is gold. Thank you!
Voice to slide !! Perfect, Sir 🙏🙏🙏🙏🙏
Excellent presentation...thank you!
Great video, helps to clear up some confusion by "going behind the curtain"
Man you explained everything in a simple and clear way. Thank you very much for this helpful content
Build it then.
@@tommushrom5929I'll
Very nice and clear explanation.
Thank you for explaing so nicely!
A few months ago I was looking exactly for this kind of video. Thank you!!!
Thank you very much for this great explanation. As a non-computer expert, the information was well presented and very understandable. Thanks.
Knew this was coming on your channel, great little intro to the topic for sharing with people, thanks.
Brillant resumee and presentation !
Excellent explanation. Thank you very much.
Wonderful explanation! Just enough detail to explore sub-topics in detail.. Thanks.
been searching like this one, thank you so much sir
Very useful and professional presentation. Thank you.
can you do a video on how Stable Diffusion work technically?
Great video. Keep doing your great work 👍👍👍👍👍
amazing. what tools do you use to make these videos??
super well animated video
Fantastic explanation!
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.
super explanation, mind bluing .thanq
Thanks for the video, I find it very helpful.
What I don't get is where is all the weights data is stored after training a neural network for image classification?
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
Nice explanation, thanks!
wow, now I totally understand how it works technically. Thanks
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)
Thank you for the great explaination.
This is classic presenation. Thanks.
Great video, very informative thanks!
Very well done!
Great content!
Very exciting, easy to understand
Sahn is the Michael Jordan of giving ELI5 explanations of complex things
Wow.....brilliant explanation
Thank you for sharing, great stuff, and langchain next?
Awesome, well done
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.
Great explanation - thank you
Very nice work, thanks!
Have learnt a lot from your vlogs and posts. Thanks Alex!
Could you cover Vector databases for LLM next time please?
I'd like to hear about that too
awesome video!
"Tighten your seat belt and enjoy the ride."
We live in incredible times! Technology is improving exponentially.
Great explanation, much appreciated. I learned a lot.
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?
Hello friend, I noticed that you want more info about how ChatGPT works, let's discuss more and you will know more.
Superb, as usual
amazing explanation. thank you
Great Job, Thank you!
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?
Beautify articulated.
Excellent. Thank you
Great video! Thank you very much.
Excellent Video - thank you. What software do you use to create your TH-cam presentations?
I really enjoyed your analogy. Though it is still over my head I do think I understand a bit more.
Pretty same as phase of a compiler 😍🙏
Great explanation..thank you..
Could you please post something that is more up-to-date to this year thanks!❤🎉😁😊
well explained , Thanks
Stop supporting it, it's the end of humanity.
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.
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
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?
This is great summary. Can you have quick summary on differences between BARD and chatGPT?
Awesome, how did you make your animated slides?
I also want to know!
Nice video, I believe the 7:01 line Stock/Finance prompt is not correct and its copied from the previous screen.
Thanks for your super interesting videos. isnt there a mistake at 7:13? Pre-trained-Model -> N should lead to return "sorry,..."? best Regards
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