LLM Project | End to End LLM Project Using LangChain, Google Palm In Ed-Tech Industry

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This is an End-to-End LLM project using the langchain framework. We are building a question-and-answer system for a real e-learning company (no toy datasets). If you are new to GenAI and LLM application development, then this langchain tutorial will help you understand how to build the end-to-end application.

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⭐️ Timestamps ⭐️
00:00 Introduction
0:38 Project requirements analysis
4:08 Technical architecture
9:13 Google Makersuite overview, API key setup
11:50 Google palm in langchain
13:28 Langchain CSVLoader
15:04 Hugging face instructor embeddings
18:40 Vector database using FAISS
22:22 Langchain RetrieverQA
29:23 Putting it all together
38:53 Streamlit UI

#️⃣ Social Media #️⃣

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Sir, Good morning. The way you teach the concepts are phenomenal . Love you from bottom of my heart.
Do this kind of video more in coming days. I know that majority just go by the fancy thumbnail but this kind of video need too much effort.
Thank You again!

Animesh_AD
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I've been looking for a detailed guide on LLM projects, and this video delivers exactly what I needed. Kudos to the presenter.

akashkamble
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sir, you are awesome! I wish we we had projects like this during undergrad.

suhaskishore
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Thank you very very much.I can't explain how important this video was for me.

gagan
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Thanks for the great and very very simple explanation of whole process. The method you explain the concept is extraordinary. Just super !!!

AI_Expert_
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thanks Dhaval sir for another cool end to end project but I think we are missing one thing is that the Deployment part

superrelaxation
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Hey there Dhaval Sir ! Just finished creating this project, Following along and It was really amazing ! Got to learn a lot in the process. Had some issues with installations and versions at some steps, But solving them helped me learn more. Thank you very much 🙏

_sarthaks
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How well it works for Tabular data having columns from SQL DB. Should we use SQlAgent or Vector DB can work. We aren't getting good result from SQLAgent

NishantKumar-dwer
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I am very excited when I watch video and title. It's full fill all the needs. And I have a request to you can you add to read pdf which are present in the website that also read and gave answer regarding that . See most of college of University update there notification panel only like they upload pdf. And if we use this it's only scrape the text data present on the website can it also scrape the pdf and creat knowledge base using all the data present on websit. And if it's done there next big hurdle is some are only upload image so can our ai will read that data like if some students of college got placed they not updated the placement page rather than put banner on the homepage. But overall love your content all the time❤❤

PrathameshShete-ikxo
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Thank you for sharing such informative session

akbarboghani
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Hi, i am struggling about Out of context. how to minimize the percentage of out of context response?

MehrabEvanC
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thank you bro you re a reference in this domain, might allah guide you and help you .

younessaznag
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Thank you for providing such a valuable videos, In your free time could you please make a video on Concept Normalization .

ndefvvv
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This tutorial video helps me to complete my project 'chat with local pdf file'. Thank you 🙏.

souravbarua
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how does the system associate answers with prompts if you only load and embed the prompt column ?

yeongnamtan
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In prompt template there are two variables context and question. When you are using chain("do you have js course"). Is retriever the context? How will it know which is question and which is context?

kalkarlengebhai
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Very Nice video Dhavalbhai. I have question what are the privacy related risks connected to using this approach. Any data breach or anything like that ?

vishwmewada
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Great content, thank you and appreciate your effort. Shall we take the same approach to fine tune a LLM to generate python code ?

RadhakrishnanBL
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Sir I am having an error while retrieving question's answer. The error says list index out of range.

rohitmore
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Thank you sir . This vedio will very very useful to students. Moreover it is inspiring to those are settling as data scientist

chinnaiahkotadi