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docs: update documentation links (#3459)
# What does this PR do? * Updates documentation links from readthedocs to llamastack.github.io ## Test Plan * Manual testing
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"We will also showcase how to leverage existing Llama stack [inference APIs](https://github.com/meta-llama/llama-stack/blob/main/llama_stack/apis/inference/inference.py) (ollama as provider) to get the new model's output and the [eval APIs](https://github.com/meta-llama/llama-stack/blob/main/llama_stack/apis/eval/eval.py) to help you better measure the new model performance. We hope the flywheel of post-training -> eval -> inference can greatly empower agentic apps development.\n",
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"\n",
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"\n",
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"- Read more about Llama Stack: https://llama-stack.readthedocs.io/en/latest/introduction/index.html\n",
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"- Read more about Llama Stack: https://llamastack.github.io/latest/index.html\n",
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"- Read more about post training APIs definition: https://github.com/meta-llama/llama-stack/blob/main/llama_stack/apis/post_training/post_training.py\n",
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"\n",
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"\n",
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},
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"source": [
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"#### 1.2. Kick-off eval job\n",
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"- More details on Llama-stack eval: https://llama-stack.readthedocs.io/en/latest/benchmark_evaluations/index.html\n",
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"- More details on Llama-stack eval: https://llamastack.github.io/latest/references/evals_reference/index.html\n",
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" - Define an EvalCandidate\n",
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" - Run evaluate on datasets (we choose brainstrust's answer-similarity as scoring function with OpenAI's model as judge model)\n",
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"\n",
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"\n",
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"This notebook will walk you through the main sets of APIs we offer with Llama Stack for supporting running benchmark evaluations of your with working examples to explore the possibilities that Llama Stack opens up for you.\n",
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"\n",
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"Read more about Llama Stack: https://llama-stack.readthedocs.io/en/latest/index.html"
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"Read more about Llama Stack: https://llamastack.github.io/latest/index.html"
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]
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