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.
Selecting the Right LLM with Hugging Face
Instructor: Manas Dasgupta
Sponsored by Coursera Learning Team
Recommended experience
What you'll learn
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.
Details to know
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September 2024
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There is 1 module in this course
This course develops advanced skills in selecting and evaluating Large Language Models (LLMs) from the Hugging Face Hub. Learners will master navigating the model repository, analyzing key characteristics like computational needs and specializations, and strategically matching models to project requirements for optimal application performance.
What's included
11 videos4 readings1 assignment1 peer review3 discussion prompts
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