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Update Documentation (#838)
# What does this PR do? Update README and other documentation ## Before submitting - [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.
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@ -10,7 +10,6 @@ A Llama Stack API is described as a collection of REST endpoints. We currently s
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- **Inference**: run inference with a LLM
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- **Safety**: apply safety policies to the output at a Systems (not only model) level
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- **Agents**: run multi-step agentic workflows with LLMs with tool usage, memory (RAG), etc.
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- **Memory**: store and retrieve data for RAG, chat history, etc.
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- **DatasetIO**: interface with datasets and data loaders
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- **Scoring**: evaluate outputs of the system
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- **Eval**: generate outputs (via Inference or Agents) and perform scoring
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@ -39,7 +38,6 @@ Some of these APIs are associated with a set of **Resources**. Here is the mappi
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- **Inference**, **Eval** and **Post Training** are associated with `Model` resources.
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- **Safety** is associated with `Shield` resources.
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- **Memory** is associated with `Memory Bank` resources.
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- **DatasetIO** is associated with `Dataset` resources.
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- **Scoring** is associated with `ScoringFunction` resources.
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- **Eval** is associated with `Model` and `EvalTask` resources.
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@ -63,12 +61,9 @@ While there is a lot of flexibility to mix-and-match providers, often users will
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**On-device Distro**: Finally, you may want to run Llama Stack directly on an edge device (mobile phone or a tablet.) We provide Distros for iOS and Android (coming soon.)
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## More Concepts
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- [Evaluation Concepts](evaluation_concepts.md)
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```{toctree}
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:maxdepth: 1
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:hidden:
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evaluation_concepts
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distributions/index
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```
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