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

From the creator

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 @Trainer.ai_app Colab notebook for introduction to the API:https://colab.research.google.com/drive/1gi2yDvvhUwLT7c8ZEXz6Yja3cG5P2owP?usp=sharing Github : https://github.com/pythonontheplane123/LLM_course_part_1 Join the Discord: https://discord.com/invite/Hq39QgRU Twitter : https://twitter.com/AkshatNon ❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba) ⭐️ 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 ⌨️

Published 2023-08-18 · Watch on YouTube ↗
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