Dive into the world of Large Language Models (LLMs) with this comprehensive tutorial. Learn to harness the power of OpenAI, Langchain, Agents, and Chroma through hands-on projects. Build dynamic interfaces, interact with vast amounts of text data, and empower LLMs to browse the internet for research papers. Explore topics such as GPT API basics, Chainlit integration, vector databases, Q&A systems with document support, web browsing agents, and custom tool creation. Gain practical experience in cloning ChatGPT's user interface, implementing streaming and backend views, and developing AI researchers and code interpreters. By the end of this 2-3 hour tutorial, you'll have the skills to leverage LLMs for your own innovative projects and explore advanced applications in natural language processing.
Development with Large Language Models Tutorial – OpenAI, Langchain, Agents, Chroma
via freeCodeCamp
Overview
Syllabus
⌨️ Brief introduction to LLMs
⌨️ Quick note from the future
⌨️ Chatgpt playground skip this is you know this already
⌨️ GPT API basics skip this is you know this already
⌨️ Brief intro to chainlit
⌨️ Cloning chatgpt user interface
⌨️ Limitations of our interface
⌨️ Adding streaming, backend view, stop sequence button
⌨️ Introduction to vector databases
⌨️ Vector databases hands on
⌨️ QnA with Documents - .txt and .pdf
⌨️ Testing out our Q&A system
⌨️ Introduction to web-browsing and agents
⌨️ AI researcher
⌨️ Human as a tool
⌨️ Mini code interpreter pluginReplit tool
⌨️ Searching youtube using agents
⌨️ Guide to explore more
⌨️ Shell Tool
⌨️ Create your own tools
⌨️ Ending Notes
⌨️ Luup.ai
Taught by
freeCodeCamp.org
