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Added a short blob for each section and removed ios
Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
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@ -12,24 +12,31 @@ Providers come in two flavors:
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Importantly, Llama Stack always strives to provide at least one fully "local" provider for each API so you can iterate on a fully featured environment locally.
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Importantly, Llama Stack always strives to provide at least one fully "local" provider for each API so you can iterate on a fully featured environment locally.
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## Agents
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## Agents
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Run multi-step agentic workflows with LLMs with tool usage, memory (RAG), etc.
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## DatasetIO
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## DatasetIO
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Interfaces with datasets and data loaders.
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## Eval
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## Eval
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Generates outputs (via Inference or Agents) and perform scoring.
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## Inference
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## Inference
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Runs inference with an LLM.
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## iOS
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## Post Training
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## Post Training
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Fine-tunes a model.
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## Safety
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## Safety
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Applies safety policies to the output at a Systems (not only model) level.
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## Scoring
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## Scoring
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Evaluates the outputs of the system.
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## Telemetry
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## Telemetry
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Collects telemetry data from the system.
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## Tool Runtime
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## Tool Runtime
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Is associated with the ToolGroup resouces.
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## Vector IO
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## Vector IO
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