In this video I go through the details that we know about how the new OpenAI o1 models work and what makes them good for reasoning tasks, the trade offs made and the
Blog Post: https://openai.com/o1/
o1 Explanation: https://openai.com/index/learning-to-reason-with-llms/
For more tutorials on using LLMs and building agents, check out my Patreon:
Patreon: https://www.patreon.com/SamWitteveen
Twitter: https://x.com/Sam_Witteveen
🕵️ Interested in building LLM Agents? Fill out the form below
Building LLM Agents Form: https://drp.li/dIMes
👨💻Github:
https://github.com/samwit/langchain-tutorials (updated)
https://github.com/samwit/llm-tutorials
⏱️Time Stamps:
00:00 Intro
00:20 OpenAI's o1
04:54 OpenAI o1-preview Chain of Thought
07:30 o1 Evals
10:29 Hiding the Chain of Thought
13:31 o1-preview Demo
13:33 o1-preview Demo in ChatGPT interface
19:22 o1-preview Colab Demo
23:06 Pricing
25:19 Wrap Up