forked from phoenix-oss/llama-stack-mirror
# What does this PR do? - To make it easier, delete existing `eval/scoring/scoring_function` apis. There will be a bunch of broken impls here. The sequence is: 1. migrate benchmark graders 2. clean up existing scoring functions - Add a skeleton evaluation impl to make tests pass. ## Test Plan tested in following PRs [//]: # (## Documentation) |
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_static | ||
notebooks | ||
openapi_generator | ||
resources | ||
source | ||
zero_to_hero_guide | ||
conftest.py | ||
contbuild.sh | ||
dog.jpg | ||
getting_started.ipynb | ||
license_header.txt | ||
make.bat | ||
Makefile | ||
readme.md | ||
requirements.txt |
Llama Stack Documentation
Here's a collection of comprehensive guides, examples, and resources for building AI applications with Llama Stack. For the complete documentation, visit our ReadTheDocs page.
Content
Try out Llama Stack's capabilities through our detailed Jupyter notebooks:
- Building AI Applications Notebook - A comprehensive guide to building production-ready AI applications using Llama Stack
- Benchmark Evaluations Notebook - Detailed performance evaluations and benchmarking results
- Zero-to-Hero Guide - Step-by-step guide for getting started with Llama Stack