Essentials of Large Language Models: A Beginner’s Journey

This LLM for beginners course offers a working knowledge of the capabilities and types of LLM and practical experience of fine-tuning GPT2 on specific datasets.

Beginner

14 Lessons

Certificate of Completion

This LLM for beginners course offers a working knowledge of the capabilities and types of LLM and practical experience of fine-tuning GPT2 on specific datasets.

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This course includes

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Course Overview

In this course, you will acquire a working knowledge of the capabilities and types of LLMs, along with their importance and limitations in various applications. You will gain valuable hands-on experience by fine-tuning LLMs to specific datasets and evaluating their performance. You will start with an introduction to large language models, looking at components, capabilities, and their types. Next, you will be introduced to GPT-2 as an example of a large language model. Then, you will learn how to fine-tun...Show More

TAKEAWAY SKILLS

Artificial Intelligence

Large Language Models (llms)

Natural Language Processing

Transformer Models

What You'll Learn

An understanding of language models, large language models, and their key differences

Familiarity with the components of LLMs and their basic architecture

Working knowledge of the types of LLMs, along with their importance and limitations

An understanding of GPT-2 as a large language model

Hands-on experience in fine-tuning LLMs to specific datasets and evaluating their performance

What You'll Learn

An understanding of language models, large language models, and their key differences

Course Content

Course Overview

Introduction to the Course

Getting Started with LLMs

Large Language Models Components of LLMs Types of LLMs Capabilities of LLMs Example LLM: GPT-2 Importance and Limitations

Fine-Tuning LLMs

Introduction to Fine-Tuning Model Selection Data Preparation Training Evaluation Challenge: Compare the Performance of Two Different LLMs

Wrap Up

Conclusion

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