Fine-tuning 101 | Prompt Engineering Conference

👉 Start fine-tuning at www.entrypointai.com
Intro to fine-tuning LLMs (large language models0 from the Prompt Engineering Conference (2023)
Presented by Mark Hennings, founder of Entry Point AI.
00:13 - Part 1: Background Info
-How a foundation model is born
-Instruct tuning and safety tuning
-Unpredictability of raw LLM behavior
-Showing LLMs how to apply knowledge
-Characteristics of fine-tuning
06:25 - Part 2: When to use it
-Examples of specialized tasks that fine-tuning benefits
-Reasons to fine-tune a model
-Speed and cost benefits
-Prompt length before and after fine-tuning
-Fine-tuning in the team environment
-LLM workflow from prompt engineering and fine-tuning to production
-Size of dataset for fine-tuning
11:27 - Part 3: No-code Demo
-Demo of no-code fine-tuning on Entry Point AI
Learn more at www.entrypoint...