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Wow. .Lovely
Ответитьlol i am not able to find api keys and lclient secret keys for astra
ОтветитьThis lecture on vector embedding is undoubtedly one of the best I've encountered! Huge thanks to Ania and FCC! Kudos to you all!
ОтветитьAmazing explanation! How could I use an existing Access database for my data set? It actually contains text reports and keywords for each report.
ОтветитьCan we do this for image search? Can we see embeddings of images? Can langchain do that? Thanks
ОтветитьAwesome Video to get started in AI. Any reason why you used datastax instead of a vector DB like pinecone?
ОтветитьIt is disappointing that you have taken the route of OpenAI which is far from open - not only have they not open-sourced their models, their payment methods are limited to a few options and setting up billing is required for their API to work. It would have been much better to use free, open-source models to demonstrate LangChain.
Ответитьthank you ! sadly you dont go in deep into the needed data...hoy big are the documents etc...but still good thanks!
Ответитьso fine
ОтветитьIs it possible to connect this to a custom GPT for the openai store?
ОтветитьThis was a super helpful tutorial. I have a quick question if you have a sec: what is the role of hugging face in the above tutorail?
Ответитьdid anyone run into this error
llm = openai(openai_api_key=OPEN_API_KEY)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: 'module' object is not callable
Somebody having the problem of "You exceeded your current quota, please check your plan"
ОтветитьIs anyone having trouble because langchain.vectorstores.cassandra is not resolving, I tried to use from langchain.vectorstores import Cassandra instead but am still getting the complaint that the name can't import. Please help
Ответитьi don't code don't how to, i am here due to the thumbnail
ОтветитьGreat tutorial, thanks! Lol at those answers it was spitting out though...
ОтветитьIt made me really laugh how she speaks about word and calls it "text". LOL
Ответитьdoes someone knows cheaper alternatives to OpenAI GPT's API ?
ОтветитьHow do ML models create embeddings for new, or novel, words? For example, what if I fed it "Hexamethylenetetramine" (an organic compound)? My brain is frying thinking about this...
Ответитьtks a lot amazin video
Ответитьare you Ai generated or an actual person.... say hi if you are AI and say dhinchak-dhinchak if you are actual persona...yeah audio will be better
ОтветитьIs there a repo with the code?
ОтветитьDamn. Jay took one for the team learning vector embeddings 💀
Ответитьyou did not explain cosine similarity and why this is a good definition of similarity when it comes to comparing vectors. Without understanding this, everything you say after it is incomprehensible
ОтветитьSo well done and well put together! Thanks for the value ❤
ОтветитьBrilliant!
ОтветитьSimply love this presentation! That vec math (King - man + woman = Queen) just blow my mind!
ОтветитьHas anyone tried these embeddings using Google Colab?
Ответитьwe have to have a GPT-4 prenium suscription fo follow this course ?
Ответитьused the python code to get the embed, ran with no errors but returned no results?
ОтветитьWow the instructor for this vid was actually amazing. I only clicked on it because It was 30 minutes long, having no real intention to actually learn and just have play in the background while I read a textbook for fizz. The instructor was phenomenal, I understood everything she said, every instruction was clear to follow although I only really know some JavaScript and cpp. I actually learned a few things. Before the video began like I said no real intentions of implementing this but since I actually learned and understood pretty much all of it I could see myself actually implementing it on some project and adding it to my resume. Would be cool. Thanks
ОтветитьThanks for this amazing session loved it
ОтветитьId like for her to embed my vector
ОтветитьI did not understand how the LLM (OpenAI) uses the embeddings stored in the DB.
Ответитьdam now I need the TIME x)
ОтветитьThank you so much for this amazing video! I learnt a lots from it!
Ответитьa git with that would be awesome
ОтветитьIs python good language to learn dsa?.. because on the internet there are lot of guys who are telling that you should learn java/c++
Ответитьthank you. a TIMELY course for my projects!
ОтветитьWhen calculating cosine similarity, does a value closer to 1 mean more similar and a value closer to -1 mean less similar?
ОтветитьHow to use chat GPT API key
ОтветитьToo bad nowadays openAi won't get you use api key unless you are a paying customer
ОтветитьCan non-coder take this course?
ОтветитьShe doesn't explain the basics. What is the terminal that she uses?
Ответитьplease guys make video on laravel react js
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