Choosing Open-source LLMs
Choosing Open-source LLMs
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 59m | 215 MB
Instructor: Karoly Nyisztor
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 59m | 215 MB
Instructor: Karoly Nyisztor
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.
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.
Choosing Open-source LLMs
