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Essentials of Large Language Models: A Beginner’s Journey

Gain insights into LLMs, explore their capabilities and limitations, and discover how to fine-tune and evaluate them. Learn about GPT-2 and compare different models effectively.

Beginner

14 Lessons

Certificate of Completion

Gain insights into LLMs, explore their capabilities and limitations, and discover how to fine-tune and evaluate them. Learn about GPT-2 and compare different models effectively.

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Explanations

Prompt

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Explanations

Prompt

This course includes

10 Playgrounds

Course Overview

What You'll Learn

Course Content

Recommendations

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

In this course, you will acquire a working knowledge of the capabilities and types of LLMs, along with their importance and limi...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

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

Course Content

Course Overview

1 Lessons

Get familiar with large language models, their applications, and ethical considerations in AI.

Introduction to the Course

Getting Started with LLMs

6 Lessons

Look at advanced LLM fundamentals, components, types, capabilities, examples, and limitations.

Large Language Models

Importance and Limitations

Fine-Tuning LLMs

6 Lessons

Examine fine-tuning LLMs, model selection, data preparation, training, evaluation, and performance comparison.

Introduction to Fine-Tuning

Challenge: Compare the Performance of Two Different LLMs

Wrap Up

1 Lessons

Find out about applying language models creatively and responsibly to impact AI.

Conclusion

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