Introduction to Open-source LLMs
Introduction to Open-source LLMs
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 58m | 124 MB
Instructor: Laurentiu Raducu
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 58m | 124 MB
Instructor: Laurentiu Raducu
This course will teach you how to evaluate, deploy, and integrate open-source LLMs, covering licensing, tooling, and practical applications, so you can confidently choose and implement the right AI solutions for your needs.
What you'll learn
Many organizations want to leverage AI, but struggle to choose between open-source and closed-source large language models (LLMs), while also understanding licensing and deployment options. In this course, Introduction to Open-source LLMs, you’ll learn to evaluate, deploy, and integrate open-source large language models for practical business use.
First, you’ll explore model performance and compare the advantages and disadvantages of open-source versus closed-source options. Next, you’ll discover how to navigate licensing terms for research and commercial use. Finally, you’ll learn how to run and interact with models using Ollama, Open WebUI, custom Streamlit interfaces, and LangChain agents.
When you’re finished with this course, you’ll have the skills and knowledge of open-source LLMs needed to select and implement the right AI solutions for your projects.
Introduction to Open-source LLMs
