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Choosing Open-source LLMs

This course will teach you how to evaluate open-source LLMs by covering key trade-offs, licensing, and performance factors, so you can choose the right model for research or commercial projects.

Karoly Nyisztor - Pluralsight course - Choosing Open-source LLMs
Karoly Nyisztor
What you'll learn

Learning how to choose an open-source LLM can feel overwhelming, with so many models to compare and licensing details to take care of. In this course, Choosing Open-source LLMs, you’ll learn to evaluate open-source large language models with confidence. First, you’ll explore how model size, architecture, and resource requirements affect performance and usability. Next, you’ll discover how to interpret benchmarks and spot the trade-offs between open-source and proprietary options. Finally, you’ll learn how to navigate licensing terms and recognize common pitfalls that can impact research or commercial projects. When you’re finished with this course, you’ll have the skills and knowledge of open-source LLMs needed to make informed choices for research and commercial projects.

Table of contents

About the author
Karoly Nyisztor - Pluralsight course - Choosing Open-source LLMs
Karoly Nyisztor

Karoly is a veteran (mobile) developer having built several successful iOS apps and games, most of which were featured by Apple.

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