LangChain GEN AI Tutorial – 6 End-to-End Projects using OpenAI, Google Gemini Pro, LLAMA2

Learn how to us LangChain with GPT-4, Google Gemini Pro, and LLAMA2 by creating six end-to-end projects. 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.

✏️ Course developed by @krishnaik06

⭐️ Contents ⭐️
⌨️ (0:00:21) Introduction What We will Learn
⌨️ (0:01:36) Langchain Crash Course
⌨️ (1:18:26) Chat With PDF Using Langchain And Astradb
⌨️ (1:41:21) Blog Generation Using LLAMA 2 LLM Models
⌨️ (2:16:21) End To End LLm Projects Using Pinecone VectorDB
⌨️ (2:52:02) Google Gemini Pro Demo
⌨️ (3:20:11) Multi Language Invoice Extractor LLm Project
⌨️ (3:46:02) Conversational Q&A Chatbot Using Gemini Pro API

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

—

google gemini pro tutorials,google gemini pro,how to query a pdf using langchain and openai,gen ai tutorial,generative ai tutorial,generative ai tutorials,top trending open source projects,depe learning tutorials,top trending open source github projects,end to end llm projects,trending github projects,trending open source github projects,autogpt projects,langchain,genai projects,gen ai projects,gemini,machine learnign tutorials,ai projects

source