Complete Langchain GEN AI Crash Course With 6 End To End LLM Projects With OPENAI,LLAMA2,Gemini Pro

LangChain is an open source framework that lets software developers working with artificial intelligence (AI) and its machine learning subset combine large language models with other external components to develop LLM-powered applications. The goal of LangChain is to link powerful LLMs, such as OpenAI's GPT-3.5 and GPT-4, to an array of external data sources to create and reap the benefits of natural language processing (NLP) applications.

Timestamp

00:00:00 Introduction What We will Learn
00:01:15 Langchain Crash Course
01:18:05 Chat With PDF Using Langchain And Astradb
01:41:00 Blog Generation Using LLAMA 2 LLM Models
02:16:00 End To End LLm Projects Using Pinecone VectorDB
02:51:41 Google Gemini Pro Demo
03:19:50 Multi Language Invoice Extractor LLm Project
03:45:41 Conversational Q&A Chatbot Using Gemini Pro API
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My Recording Gear

[krishnaik]

Lets target 2000 likes for this amazing video :)❤

[ruchikashelke]

Your informative content has been incredibly helpful. We find all the information we need right here on your channel when learning about general AI.

[aswinkumardamarapalli]

Hi krish, Thanks for sharing all this knowledge with us. Within 5 days i developed, hosted 2 LLM projects all because of you. You will become One of the major youtubers soon this year.. Mark my words

[Muhammad_Aftab_ahmad_]

00:13 Langchain crash course
00:27 Six LLM projects
03:12 Deploy chatbot application
23:02 LangChain integrates Hugging Face models.
25:41 Open AI vs. Hugging Face: output differences.
28:15 Prompt templates simplify input-output for LLMs.
48:20 Input and message schemas

49:32 Schema examples import

54:21 Prompts, LLM, output parsing

01:13:52 Python environment variables
01:14:36 Streamlit app setup
01:16:55 Hugging Face deployment
01:35:06 Initialize Astra DB
01:35:33 Create LangChain embeddings
01:36:13 Set up Astra Vector store
01:36:57 Implement text embedding
01:39:05 Query Astra Vector data
01:55:33 Set up a local environment
01:57:19 Install required libraries
02:00:15 Configure Streamlit page
02:19:23 Create environment Python
02:20:03 Manage requirement.txt libraries
02:24:00 Convert PDF chunks
02:42:30 Initialize Vector Search
02:44:02 Store Embeddings in Vector DB
02:45:38 Implement Cosine Similarity
03:04:28 Meaning of life explored.
03:04:41 Gemini Pro handles API failures.
03:05:24 Safety categorization in responses.
03:06:57 GPT-3 Ethics and responses.
03:08:36 Stream response chunks.
03:10:28 Response iteration caution.
03:11:56 Gemini Pro vision with images.
03:18:37 Multi-model prompts supported.
03:29:04 Streamlit for app creation.
03:29:58 Importing necessary libraries.
03:30:39 Configuring Gen API key.
03:31:36 Loading GenPro model.
03:32:22 Creating GPT-3 input parameters.
03:33:32 Generating content with GenPro.
03:35:34 Setting up Streamlit UI.
03:36:17 Handling file uploads.
03:36:45 Creating submit button.
03:38:26 Processing image data.
03:40:26 Managing input prompt.
03:42:18 Running the Streamlit app.
03:43:25 Interacting with invoice details.
03:46:08 Handling multilingual invoices.
03:47:22 Demonstrating Q&A chatbox.
03:48:41 Overviewing project setup.
03:53:37 Initialize session state
03:54:20 Handle user input
03:55:31 Capture Gemini response
03:56:13 Store chat history
03:57:09 Display streaming response

[tupaiadhikari]

Thank You Krish, for the amazing state of the art videos....highly appreciated !

[brijeshsoni]

This is the milestone for GEN AI journey, thank you Krish sirji. I'm very excited for Hindi version for this video.

[krishnaprasadsheshadri]

Wow, great video for a beginner like me! Thank you so much Krish!

[sarthaksinha]

It took me 1 week to complete this 4 hour video along with work, this is pure gem

[aashraf]

Massive effort, massive impact. When ai crawls YouTube, you will be one of the greatest of all time as per ai. Thanks a lot

[ngoduyvu]

Thanks for putting together this amazing course

[kateki]

Excellent Krish, you have made this all too easy to learn.

[rishiraj]

Great thanks!
Happy New Year, Krish Naik ans Team!!🎉❤

[mdfaiz]

you deserve these likes ...thanks you so much Krish

[AryanMathur-ghdf]

Thank you so much sir for posting such educational videos. Its been a great help for college students like me to venture into the world of LLM and explore it as much as I can

[vaishalishiv]

Thank you Krish sir for amazing session.

[_abc_xyz]

Thanks a lot for these valuable content for free

[chinnibngrm]

Supperr Helpful Video sir ❤😊
Thank you soo much for this amazing video

[henryernest]

Let's support Krish. Thanks for this amazing content.

[FREAK-stkk]

Great Content, Thanks for sharing..!!

[venkatakambam]

Awesome tutorials... thanks for your efforts