Fine-Tune Your LLMs

سرفصل های دوره

In this course, award-winning tech innovator and AI/ML leader Kesha Williams guides you through several concepts and techniques that you can use to fine-tune LLMs using your own data. Explore the concepts and costs of fine-tuning and learn how to set up your environment for it. Go over the steps to prepare your data and fine-tune a pre-trained LLM. Plus, practice evaluating and iterating a fine-tuned model. Practical, hands-on challenges in each chapter give you a chance to deepen your understanding of the topics.

01 - Introduction

01 - Introduction to fine-tuning LLMs

02 - Review the fine-tuning project

02 - 1. Exploring Concepts and Costs of Fine-Tuning

01 - Explore LLMs

02 - Review the fine-tuning process

03 - Understand the costs of fine-tuning

03 - 2. Setting up Your Environment for Fine-Tuning

01 - Explore the OpenAI API for fine-tuning

02 - Use GitHub codespaces

03 - Sign up for an OpenAI account

04 - 3. Preparing Data for Fine-Tuning

01 - Source data for fine-tuning

02 - Challenge Source data for fine-tuning

03 - Solution Source data for fine-tuning

04 - Prepare data for fine-tuning

05 - Challenge Prepare and upload data for fine-tuning

06 - Solution Prepare and upload data for fine-tuning

05 - 4. Fine-Tuning a Pretrained LLM

01 - Train a new fine-tuned model

02 - Challenge Fine-tune a pretrained LLM

03 - Solution Fine-tune a pretrained LLM

04 - Retrieve and use a fine-tuned model

05 - Challenge Develop a chatbot based on a fine-tuned model

06 - Solution Develop a chatbot based on a fine-tuned model

06 - 5. Evaluating a Fine-Tuned Model

01 - Evaluate a fine-tuned model

02 - Iterate a fine-tuned model

03 - Challenge Evaluate a fine-tuned model

04 - Solution Evaluate a fine-tuned model

07 - Conclusion

01 - Your fine-tuning journey

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تولید کننده: LinkedIn Learning (Lynda)