LLM Project | End to End Gen AI Project Using Langchain, OpenAI in Finance Domain

preview_player
Показать описание
End-to-end LLM project for beginners and intermediate users using langchain. In this LLM project, we will use langchain, openai API, and streamlit to build a news research tool that can be used by equity research analysts to conduct their research. This end-to-end NLP project will give you a good experience in building a real-life industry project that will add a lot of value to your data scientist or NLP engineer project portfolio.

Timestamps:

00:00 Introduction
01:20 Problem statement, tech architecture
13:45 Loaders (TextLoader, UnstructuredURLLoader)
21:31 Text Splitters (CharacterTextSplitter, RecursiveCharacterTextSplitter)
33:30 FAISS Index and Vector database
44:52 Retrieval (RetrievalQAWithSourcesChain)
56:49 Streamlit UI and Project Coding

#️⃣ Social Media #️⃣

------

Рекомендации по теме
Комментарии
Автор

Using a different version of langchain may help.

codebasics
Автор

One of the best courses on YouTube to learn GenAI. Thanks a lot for this

arpitak
Автор

Found a lot of stuff on Langchain on YouTube. But no one went this deep with individual langchain concepts as you did. A lot of confusing topics got cleared today. THANKS FOR THIS. ❤

frank.nelson
Автор

An end to end langchain project cannot be more clearer and perfect than this one !

madhuful
Автор

This is the best tutorial I have watched on LLM. Crisp, yet detailed. Thank you!

mrudular
Автор

This is the best tutorial i have watched till date, kudos for the effort to put in to make this video.

krishna_kagitha
Автор

It's just a perfect combination of depth and width!! Thank you so much!!

tarasankarbanerjee
Автор

I like the way you explain the business scenario and toolset required to implement the solution in the PoC and Production phases.

ashishmalhotra
Автор

Thank you sir for this wonderful tutorial, which made me understand about the end to end LLM project in a simple way. Great work.

sujithsaikalakonda
Автор

Another excellent learning video! You explained the end-to-end LangChain application workflow very nicely. Thanks!

shaktisingh
Автор

Thanks a lot, I'm so happy that I came accross this video. Best tutorial.

vinamradutt
Автор

Best thing I love about this guy is, he let the audience feel the problem, so that when he is doing this he will be clear that I am solving this problem this should be the approach, love u man for all the content u make

urunlbi
Автор

Coding... Coding... Coding... I don't like it! I avoid! But! Coding likes me! I can't avoid!

roshanmaharana
Автор

you are awesome teacher, I rarely post comments below yt movies.. you just have explained it in very easy and understable way.. ;-) well done

mksklb
Автор

Your tutorials are amazing and these are really helpful

zainulabideen_
Автор

what more simple explanation could be possible than this. Awesome explanation and project concept.

himanshupatidar
Автор

Thank you so much for this wonderful tutorial, really helps me in implementing a POC in my company

txmviki
Автор

This was an awesome overview! Thank you for all the work put into it!😍

lisagirard
Автор

Absolute best explanations. To class. Thank you.

AliKibao
Автор

The Best best best video on langchain+llm in youtube Thank you sir for wonderful content.
Please upload the videos on how to finetune our own data and some more real world usecases like this video

chinnibngrm