mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-31 12:03:55 +00:00
8fb1f9696e
The API should behave in a way similar to existing training and eval flows where a long running task is sent to background; the client receives a job ID to follow status and extract artifacts. Note: there are no providers for this API implemented yet, so no implementation changes seem to be needed. Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com> |
||
|---|---|---|
| .. | ||
| _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