Selecting the Right LLM with Hugging Face
This course guides you through the Hugging Face Hub, teaching you how to evaluate and select the right Large Language Model (LLM) based on size, performance, specialization, licensing, and computational needs.
Overview
This course includes:
- 3 hours of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
There are literally thousands of Large Language Models or LLMs available out there that can be used for a plethora of purposes. Hugging Face is the de-facto hub for language models, offering a huge collection where you can find and use almost any model you need. Choosing the right model can be an arduous task given models come in various shapes, sizes and configurations and each model is specialized at something different. So, when you approach Hugging Face in search of the right Model for your requirement, you have to know the art of this matchmaking.
In this course, we will learn how to navigate through the Hugging Face Hub for Models, matching their configurations to your needs. We will understand key characteristics of Models (LLMs), such as Size, Computational Requirements, Specializations, Licensing and so on. We will look into various families of Models and their specializations, performance and variants. We will also learn how to use various models from Hugging Face and Evaluate them based on your requirements.
Skills You Will Gain
Learning Outcomes (At The End Of This Program, You Will Be Able To...)
- Navigate through the Hugging Face Ecosystem.
- Comparing Models using various Factors and Practical Considerations.
- Using a Model from Hugging Face.
- Determine the most suitable model for a given task by scoring the results from each candidate model on a variety of parameters.
Prerequisites
Participants should have a strong foundation in Python programming and a basic understanding of Large Language Models (LLMs) and their programmatic use, as the course will build on these concepts with practical coding exercises and advanced topics like model selection, comparison, and evaluation.
Who Should Attend
This course is designed for Data Scientists, ML Engineers, Software Developers and IT Engineers aiming to build their own LLM Applications, RAG Applications or Fine Tuned Models, equip the learners with the knowledge and skills necessary to find and use the right Models for their needs.
