Popular
4.4
Beginner
2h
Updated 2 months ago
Essentials of Large Language Models: A Beginner’s Journey
In this LLM course, learn the fundamentals, fine-tuning, and evaluation, and explore its architecture and evolution. Discover GPT-2, compare models, and uncover use cases.
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-tune a selected LLM to a specific dataset, starting from model selection, data preparation, model training, and performance evaluation. You will also compare the performance of two different LLMs.
By the end of this course, you will have gained practical experience in fine-tuning LLMs to specific datasets, building a comprehensive skill set for effectively leveraging these generative AI models in diverse language-related applications.
In this course, you will acquire a working knowledge of the capabilities and types of LLMs, along with their importance and limi...Show More
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 fine-tuning LLMs to specific datasets and evaluating their performance
An understanding of language models, large language models, and their key differences
Show more
TAKEAWAY SKILLS
Content
2.
Getting Started with LLMs
7 Lessons
Learn about advanced LLM fundamentals, components, types, capabilities, examples, and limitations.
3.
Fine-Tuning LLMs
6 Lessons
Examine fine-tuning LLMs, model selection, data preparation, training, evaluation, and performance comparison.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Developed by MAANG Engineers
Trusted by 2.8 million developers working at companies
"Very good insight about overall AI evaluation and sample model training."
Ramesh Perla
Senior Software Engineer @ Microsoft
"I thought this course was a great general overview of LLMs that introduced the main concepts and context of LLMs within the world of AI, how they work at a high level, and how their performance is measured."
Jorge Astorga
AI Technical Program Manager @ Cruise
"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"
Anthony Walker
@_webarchitect_
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