Learners will gain the skills to serve powerful language models as practical and scalable web APIs. They will learn how to use the llama.cpp example server to expose a large language model through a set of REST API endpoints for tasks like text generation, tokenization, and embedding extraction.
Beginning Llamafile for Local Large Language Models (LLMs)
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Learn how to serve large language models as production-ready web APIs using the llama.cpp framework
Understand the architecture and capabilities of the llama.cpp example server for text generation, tokenization, and embedding extraction
Gain hands-on experience in configuring and customizing the server using command line options and API parameters
Skills you'll gain
Details to know
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Assessments
4 assignments
Taught in English
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There is 1 module in this course
This week, you run language models locally. Keep data private. Avoid latency and fees. Use Mixtral model and llamafile.
What's included
8 videos17 readings4 assignments1 discussion prompt4 ungraded labs
Offered by
Recommended if you're interested in Software Development
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