Llm Module 4: Fine-Tuning And Evaluating Llms | 4.4 Fine Tuning: Few-Shot Learning

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.4 Fine Tuning: Few-shot Learning

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.5 Fine Tuning: Instruction-following LLMs

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.2 Module Overview

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.7 Fine Tuning: DIY

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.9 Evaluating LLMs

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.6 Fine Tuning: LLMs as a Service

Fine-tuning Large Language Models (LLMs) | w/ Example Code

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.10 Task specific Evaluations

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.1 Introduction

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.13.1 Notebook Demo Part 1

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.8 Dolly

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.12 Summary

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.3 Applying Foundation LLMs

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.13.2 Notebook Demo Part 2

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.11 Guest Lecture Harrison Chase, LangChain Creator

Prompt Engineering, RAG, and Fine-tuning: Benefits and When to Use

Fine Tuning LLM Models – Generative AI Course

freeCodeCamp.org

Fine Tuning Large Language Models with InstructLab