Master the usage of LangChain, Pinecone, and OpenAI to develop hands-on generative applications powered by large language models (LLMs). Learn to create powerful web-based front-ends for your generative applications using Streamlit. This course will equip you with a solid understanding of the fundamentals of LangChain, Pinecone, and OpenAI, while enabling you to build modern front-ends using Streamlit in pure Python. Prior essential Python programming experience is recommended as this course is the second part of the "OpenAI API with Python Bootcamp". Prepare yourself for the AI revolution that is reshaping society with the extensive efforts, knowledge, and investments being made by major technology corporations worldwide. Course Topics: LangChain Fundamentals Environment Setup with Dotenv: LangChain, Pinecone, OpenAI LLM Models (Wrappers): GPT-3 ChatModels: GPT-3.5-Turbo and GPT-4 LangChain Prompt Templates Simple Chains Sequential Chains Introduction to LangChain Agents LangChain Agents in Action Vector Embeddings Introduction to Vector Databases Deep Dive into Pinecone Deep Dive into Chroma Splitting and Embedding Text Using LangChain Inserting the Embeddings into a Pinecone Index Questioning (Similarity Search) and Retrieving Answers (GPT-4) Creating Front-ends for LLM and Generative AI Apps using Streamlit Streamlit: Main Concepts, Widgets, Session State, Callbacks
TO MAC USERS: If RAR password doesn't work, use this archive program:
RAR Expander 0.8.5 Beta 4 and extract password protected files without error.
TO WIN USERS: If RAR password doesn't work, use this archive program:
Latest Winrar and extract password protected files without error.