This course teaches learners how to develop with Large Language Models (LLMs) by completing hands-on projects. By the end of the course, students will be able to build projects with LLMs to create dynamic interfaces, interact with text data, and enable LLMs to browse the internet for research papers. The course covers topics such as working with vector databases, implementing Q&A systems, web-browsing with agents, and creating custom tools. The teaching method includes practical projects and demonstrations. This course is intended for individuals interested in leveraging LLMs for various applications and projects.
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
