Improving Determinism in LLMs: Temperature, Seeds, and Tools
Offered By: All About AI via YouTube
Course Description
Overview
Explore the concept of determinism in the AI tech stack, focusing on Large Language Models (LLMs), in this 23-minute video. Delve into strategies for enhancing deterministic outputs in LLMs through experiments with open-source models like phi3 and larger models such as GPT-4. Learn about the differences between AI and traditional software tech stacks, understand the role of temperature in LLMs, and discover how to use seeds for improved determinism. Gain insights into practical tests for improving determinism and draw valuable conclusions for implementing these concepts in AI development.
Syllabus
AI Determinism Intro
AI Tech Stack vs Software Tech Stack
How to Improve Determinism in LLMs?
Hubspot
Improving Determinism Tests
What is Temperature in a LLM?
Improving Determinism Tests
OpenAI Seeds
Conclusion
Taught by
All About AI
Related Courses
Artificial Intelligence: Reinforcement Learning in PythonUdemy Advanced AI: Deep Reinforcement Learning in Python
Udemy Cutting-Edge AI: Deep Reinforcement Learning in Python
Udemy GPT-4 - What, Why, How?
Edan Meyer via YouTube GPT 4 - Superpower Results With Search
James Briggs via YouTube