MIT How to Speak, IAP 2018
Instructor: Patrick Winston
View the complete course: https://ocw.mit.edu/how_to_speak

Patrick Winston's How to Speak talk has been an MIT tradition for over 40 years. Offered every January, the talk is intended to improve your public speaking ability in critical situations by teaching you a few heuristic rules.

0:16 Introduction
3:11 Rules of Engagement
4:15 How to Start
5:38 Four Sample Heuristics
10:17 The Tools: Time and Place
13:24 The Tools: Boards, Props, and Slides
36:30 Informing: Promise, Inspiration, How To Think
41:30 Persuading: Oral Exams, Job Talks, Getting Famous
53:06 How to Stop: Final Slide, Final Words
56:35 Final Words: Joke, Thank You, Examples

This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility.

The traditional Chinese captions courtesy of 高嘉宏. Used with permission. The captions are reviewed and edited by MIT OpenCourseWare. The simplified Chinese captions are by MIT OpenCourseWare.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu

Thanks to Microsoft for sponsoring this video! Submit your #CodingWithCopilot stories so I can review them! I'm excited to check out more!

Today I'll be showing you how to build local AI agents using Python. We'll be using Ollama, LangChain, and something called ChromaDB; to act as our vector search database. All of this will be local and free to run.

🎞 Video Resources 🎞
Code in this Video: https://github.com/techwithtim/LocalAIAgentWithRAG
Ollama Library: https://ollama.com/library
Download Ollama: https://ollama.com/
Virtual Environments Video: https://www.youtube.com/watch?v=Y21OR1OPC9A
Ollama Video: https://www.youtube.com/watch?v=UtSSMs6ObqY&t=1s

⏳ Timestamps ⏳
00:00 | Video Overview
00:34 | Project Demo
02:02 | Python Setup/Installation
04:33 | Ollama Setup
07:14 | GitHub Copilot
08:22 | Local LLM Usage
14:52 | Vector Store Database Setup
23:24 | Connecting LLM & Vector Store

#sponsored