Development with Large Language Models Tutorial – OpenAI, Langchain, Agents, Chroma

Welcome to this course about development with Large Language Models, or LLMs. Throughout this course, you will complete hands-on projects will help you learn how to harness LLMs for your own projects. You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.

This course was developed by @Luup.ai123

Colab notebook for introduction to the API:https://colab.research.google.....com/drive/1gi2yDvvhU
Github : https://github.com/pythononthe....plane123/LLM_course_

Join the Discord: https://discord.com/invite/Hq39QgRU
Twitter : https://twitter.com/AkshatNon

⭐️ Contents ⭐️
⌨️ (0:00:00) Brief introduction to LLMs
⌨️ (0:11:49) Quick note from the future
⌨️ (0:12:04) Chatgpt playground (skip this is you know this already)
⌨️ (0:18:21) GPT API basics (skip this is you know this already)
⌨️ (0:30:43) Brief intro to chainlit
⌨️ (0:31:33) Cloning chatgpt user interface
⌨️ (0:45:37) Limitations of our interface
⌨️ (0:47:48) Adding streaming, backend view, stop sequence button
⌨️ (0:58:42) Introduction to vector databases
⌨️ (1:04:42) Vector databases hands on
⌨️ (1:12:10) QnA with Documents - .txt and .pdf
⌨️ (1:23:32) Testing out our Q&A system
⌨️ (1:27:22) Introduction to web-browsing and agents
⌨️ (1:32:52) AI researcher
⌨️ (1:42:23) Human as a tool
⌨️ (1:44:44) Mini code interpreter plugin(Replit tool)
⌨️ (1:46:29) Searching youtube using agents
⌨️ (1:49:19) Guide to explore more
⌨️ (1:50:33) Shell Tool
⌨️ (1:55:43) Create your own tools
⌨️ (2:01:19) Ending Notes

🎉 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

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