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)
Beginning Llamafile for Local Large Language Models (LLMs)
Taught in English
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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April 2024
Assessments
4 assignments
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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
Google Cloud
Amazon Web Services
LearnQuest
Johns Hopkins University
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