Learn end to end projects – Begginer friendly – Go form zero to hero in weeks time – Pinecone apps
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
