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@chimoji608 16 күн бұрын
I think for non programmers like me... this might still be too next level XD
@cgc2300 18 күн бұрын
hello I wrote to you to tell you that I have a lot of difficulty understanding how GPT works
@cgc2300 Ай бұрын
Hello
@cgc2300 Ай бұрын
Hello Could you give me examples so that I understand how the APIs work or more precisely the results that I could obtain depending on the different apps that I use? Do you know if there is a site that can give me examples of using GPTs with API just to have examples?
@n-2094 Ай бұрын
Thank you for the great video!💡🙌
@cgc2300 Ай бұрын
hello is there a GPT to which I could give my ideas and my objectives and that it tells me how to build a m on where the prompts and if I should add a database and APIs? I ask the cat but he doesn't know how to do it, I don't think he's very intelligent and thank you for the videos
@cgc2300 2 ай бұрын
hello and thank you very much for your videos, however I still have a lot of things that I don't understand, could I ask you some questions
@hubel-labs 2 ай бұрын
Feel free to ask here and I will try to answer if I can
@cgc2300 2 ай бұрын
@@hubel-labs I have around ten ideas and the first concerns SEO and automation. I don't know how to go about it and I would like to know if my ideas are good and feasible. I talk about my ideas to chatgpt so that he can tell me what he thinks about them and then correct me if these ideas are not good or so that he can make suggestions to me and also he can tell me how to make a GPT based on my ideas and my goals but these answers are very basic I would like to sell on eBay... my first idea I had regarding automation an idea would be that my analytical software scans all my listings on eBay then automatically scans me and searches for keywords then changes all the keywords automatically without my intervention so it's an idea that I had and I submitted it to gpt4 so that he can tell me if it's a good idea and if there is perhaps a better one to offer me but these answers are are very basic so can you tell me what you think about it? This is only my first idea but I also had many others and I wrote them on a Google doc but the problem is that I asked chatgpt to translate it for me into English understandable but he is also very bad at it I mean the translations remain very basic like with Google Translate
@cgc2300 2 ай бұрын
@@hubel-labs I have around ten ideas and the first concerns SEO and automation. I don't know how to go about it and I would like to know if my ideas are good and feasible. I talk about my ideas to chatgpt so that he can tell me what he thinks about them and then correct me if these ideas are not good or so that he can make suggestions to me and also he can tell me how to make a GPT based on my ideas and my goals but these answers are very basic I would like to sell on eBay... my first idea I had regarding automation an idea would be that my analytical software scans all my listings on eBay then automatically scans me and searches for keywords then changes all the keywords automatically without my intervention so it's an idea that I had and I submitted it to gpt4 so that he can tell me if it's a good idea and if there is perhaps a better one to offer me but these answers are are very basic so can you tell me what you think about it? This is only my first idea but I also had many others and I wrote them on a Google doc but the problem is that I asked chatgpt to translate it for me into English understandable but he is also very bad at it I mean the translations remain very basic like with Google Translate
@cgc2300 2 ай бұрын
@hubel-labs it's very complicated to understand how actions and APIs work I have around ten ideas and the first concerns SEO and automation. I don't know how to go about it and I would like to know if my ideas are good and feasible. I talk about my ideas to chatgpt so that he can tell me what he thinks about them and then correct me if these ideas are not good or so that he can make suggestions to me and also he can tell me how to make a GPT based on my ideas and my goals but these answers are very basic I would like to sell on eBay... my first idea I had regarding automation an idea would be that my analytical software scans all my listings on eBay then automatically scans me and searches for keywords then changes all the keywords automatically without my intervention so it's an idea that I had and I submitted it to gpt4 so that he can tell me if it's a good idea and if there is perhaps a better one to offer me but these answers are are very basic so can you tell me what you think about it? This is only my first idea but I also had many others and I wrote them on a Google doc but the problem is that I asked chatgpt to translate it for me into English understandable but he is also very bad at it I mean the translations remain very basic like with Google Translate
@cgc2300 Ай бұрын
to sum up : there are several topics that I would like to look into and I have 1000 questions, I would like to use gpt4 like a super teacher, to have him correct my ideas about marketing, and it's really not great for me despite the 100 billion pieces of data it has and I understood that if I do a gpts then the problem will be solved? there are directories of GPTs but what I would like is to see how they are made up for example there is a GPT it is called Universal primer and which apparently is the kind of GPT I need I mean who knows everything about everything and who can give me amazing tutorials, you know? but there is no way of knowing how this kind of gpt is done? also I would have liked to ask GPT 4 how to make a GPT according to my objective but gpt4 and as evasive as 3.5 and still in the construction of a GPT, I would have liked to know what it is possible to do with the APIs So what I would like is to tell you what I want to do, my objectives, and for you to tell me how I should build my GPS or is there a gpt that could help me say how Do I have to create my GPT for what I want, I fart 4 can't do it despite its 100 billion data
@AnoniChocolateMoose 2 ай бұрын
Thankyou
@victorfeight9644 2 ай бұрын
clear effective explanations thank you
@karanv293 4 ай бұрын
I have a question because theres so many tutorials out there regarding "Advanced RAG strategies". Im trying to find the best one for my usecase which is users ask questions over 100s of large documents. Theres a tutorial on llamaindex youtube called Llamaindex Workship: Multimodal + advanced RAG workshop with gemini. how does this compare with that strategy?
@user-tc2ef9ek5r 4 ай бұрын
Great video!
@NetZeroEarth 4 ай бұрын
Hi Lily How do I gain access to the colab book. I'm following Huber labs on LinkedIn under Jamall Winn
@SwingingInTheHood 4 ай бұрын
Thanks for the video. It helped me get my GPT and action up and running within a couple hours. Good work!
@Ben-gp5ty 4 ай бұрын
Can we use AWS sagemaker jumpstart to serve the E5 embedding model ? Are there advantages of doing it ourselves instead like what you are doing ?
@ginisksam 5 ай бұрын
Llama Index has new version 0.10 - will migrate your codes n learn same time. Thanks for introducing Sentence Window Retrieval. Most basic straight-split and retrieve/chat doesnt produce much meanings on our docs.
@JOHNSMITH-ve3rq 5 ай бұрын
Ah loving this chan. Forgot about it. It’s the bomb!!!
@sivi3883 6 ай бұрын
Awesome video explained very clearly! Thanks a ton! If I may ask, what tool do you use for those visual flows. Love it!
@sayanbhattacharyya95 6 ай бұрын
Really cool video! Is there an "ideal" or "recommended" value of window_size?
@jannessantoso1405 6 ай бұрын
it is 1784 in teahistory.txt and 1794 in chinahistory.txt so bit confusing but anw great tutorial Thanks
@fheralanis 6 ай бұрын
your video has helped me too much to find the source of the messages that the assistant generates when the 'run' is 'in-progress' using the 'code interpreter'. thank you very much for sharing !!
@kashishvarshney2225 6 ай бұрын
amazing video mam, please tell me one thing, I created a chatbot using this method but it takes almost 15-20 second to response. Can I decrease this response time please reply
@nazihfattal974 6 ай бұрын
As always, well prepared, easy to follow video that delivers a lot of information and value. Thank you!
@AssassinUK 6 ай бұрын
Ive been doing this but using FlowiseAI
@thisiscrispin 6 ай бұрын
You mention providing examples in the end, but do I see that correctly that you never feed those into an API call to openai?
@hubel-labs 6 ай бұрын
U mean the few shot learning part? At 11:33, and also at 13:36, when I ran those cells, the examples did get passed in to the API call to get the json output result. Not sure if that helps to answer your question. The way that I’m using function calling here is a bit of a hack. If you want to see how it is intended to work, can watch this one: OpenAI Assistants API - Part 2: using Agents with function calling together with info retrieval kzfaq.info/get/bejne/eLxdkpiQ15qam3k.html
@raveeshnilaweera 6 ай бұрын
Thank you ❤
@WesleyMusgrove 6 ай бұрын
Hi this was super helpful and I'm looking for you on LinkedIn, but there are a ton of Lily Cheng's, so I'm not sure which is you. Would love to get a copy of this code to learn more!
@goonymiami 6 ай бұрын
Seeing your explaination at around 09:30, it seems like we can only use K windows to serve as knowledge base to answer a prompt. What If the prompt asks information that is contained in more than K windows? Like if I have several documents containing each a bio of a person, and if the user asks to sort those 10 people by age... how can it figure it out? I guess we can use a big value for K, if the cosine similarity engine can take it... but I am guessing providing too much context to the LLM will cost a lot of money?
@hubel-labs 6 ай бұрын
Yeah, it wouldn’t work very well in that scenario. I wonder if perhaps there is a strategy where the LLM can determine the right K based on what it is trying to do. Or instead of setting K to be a fixed number, to return all chunks where the cosine similarity is above a given threshold.
@mikestaub 6 ай бұрын
Incredibly useful, thank you!
@JOHNSMITH-ve3rq 6 ай бұрын
Text very distracting !! Killer content otherwise tho.
@JOHNSMITH-ve3rq 6 ай бұрын
Astonished by the high information density in this video. Needs 10x the views. Amazing. Thank you.
@nunoalexandre6408 7 ай бұрын
Love it!!!!!!!!!!!!!!!!!
@mikestaub 7 ай бұрын
This is currently the best RAG tutorial on the internet.
@Work_Pavan-mu9ye 7 ай бұрын
Excellent video. Liked the workflow you showed in the beginning. What SW are you using to create this workflow?
@hubel-labs 7 ай бұрын
Excalidraw
@unclecode 7 ай бұрын
Fascinating! Your approach to teaching and presenting is poetic. It is well organized, well explained, and well illustrated. Indeed, kudos to you. If I could, I would subscribe to your channel twice!
@JOHNSMITH-ve3rq 7 ай бұрын
Wow _ darn useful !!
@chiggly007 7 ай бұрын
Great video? Is the diagram anywhere to refeeence?
@hubel-labs 7 ай бұрын
I’ll post it up tomorrow - need to fix an error
@grabani 7 ай бұрын
@hubel-labs Any update on the diagram please - thanks? Great vid by the way.
@hubel-labs 7 ай бұрын
I added it to the description. Here is the link: link.excalidraw.com/readonly/m6DK7oyEFpyQnuw55DVP?darkMode=true
@natal10 7 ай бұрын
Great video!! Love it
@hubel-labs 7 ай бұрын
Thank you!!
@daaimrehman717 7 ай бұрын
can you people please make a tutorial of a project using gemini? like a simple financial analyst or something?
@danielvalentine132 7 ай бұрын
Great job explaining window and how vector store and doc store relate and where window lives. I’ve been trying to understand this aspect of llamaindex, and you made it very clear!
@hubel-labs 7 ай бұрын
Yeah, it took me a while to figure that out too. Glad it helped you!
@user-jj1ff2gz7u 7 ай бұрын
df
@sitedev 7 ай бұрын
Great video with an awesome easy to follow explanation of RAG. Reminds of a recent Andrej Karpathy video.
@eternalia4059 7 ай бұрын
Thanks, great job
@peteredmonds1712 7 ай бұрын
I'm a bit confused on the use case for re-ranking. Doesn't that defeat the purpose the top-k search in that we include all chunks, significantly increasing the number of tokens we use? Is the idea to do re-ranking with a smaller & cheaper LLM before sending the resultant top-K chunks to a more robust LLM?
@hubel-labs 7 ай бұрын
yeah, it took me a while to understand it as well. It does end up using more tokens but I guess that can be, as you said, mitigated with a lower spec LLM. The idea is that embeddings is not a perfect representation of the text - it's a good way to sort through millions of text chunks efficiently but the exact ranking within the top 20, for instance, may not be as good as using the text directly. So if you were to do reranking, you might use the embeddings to return j results (where j is somewhat larger than k) and then rerank those j results using LLM into a final top k that you then pass into your user-facing LLM.
@JamesRBentley 7 ай бұрын
Great demo, and Lily is awesome, I dropped her a line on LinkedIn and she kindly shared the colab workbooks.
@yourbestsail 7 ай бұрын
Absolutely excellent! Finally a crystal clear explanation! Thank you 😊
@peteredmonds1712 7 ай бұрын
Small correction: embedding are not a 1536 digit number but of vector of size 1536
@hubel-labs 7 ай бұрын
Yes, you are right …. I was thinking of hashes for some reason! I’ll add a correction!
@MaliRasko 7 ай бұрын
Your explanations and delivery is on point. Thank you for an excellent content and relaxed narration style.
@mayurmoudhgalya3840 7 ай бұрын
Another great video!
@arjoai 7 ай бұрын
Wow, that’s a wonderful piece of advice from such a talented professional in the field. Thank you 😊
@Scorpio2011b 7 ай бұрын
Hi, thank you for the very informative vidoes i honestly saved alot of time, and the diagram reslly simplified how to understand it all. I've just sent you a request on LinkedIn but can't message you for some reason.
@hubel-labs 7 ай бұрын
Let me look out for you!