Determinism in the AI Tech Stack (LLMs): Temperature, Seeds, and Tools

Video Description

How Can We Improve Determinism in the AI Tech Stack (LLMs): Temperature, Seeds, and Tools HUBSPOT Free E-book: https://clickhubspot.com/z2k 👊 Become a member and get access to GitHub and Code: https://www.youtube.com/c/AllAboutAI/join 🤖 Great AI Engineer Course: https://scrimba.com/learn/aiengineer?ref=allabtai 🔥 Open GitHub Repos: https://github.com/AllAboutAI-YT/easy-local-rag 📧 Join the newsletter: https://www.allabtai.com/newsletter/ 🌐 My website: https://www.allabtai.com Today we are looking if and how we can improve deterministic outputs in LLMs. We do some experiments with open source model like phi3 and bigger modles like gpt4o 3Blue1Brown: https://www.youtube.com/watch?v=wjZofJX0v4M 00:00 AI Determinism Intro 00:24 AI Tech Stack vs Software Tech Stack 02:17 How to Improve Determinism in LLMs? 04:13 Hubspot 05:28 Improving Determinism Tests 08:29 What is Temperature in a LLM? 12:43 Improving Determinism Tests 17:12 OpenAI Seeds 20:52 Conclusion This Video was sponsored by Hubspot