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The sources of docs in the vector index are ['blog', 'optimum', 'datasets-server', 'datasets', 'transformers', 'course',
'gradio', 'diffusers', 'evaluate', 'deep-rl-class', 'peft',
'hf-endpoints-documentation', 'pytorch-image-models', 'hub-docs']
For the query "Please show me a LORA finetuning script", the output shown in the blog shows that the agent first started with these 3 sources ['transformers', 'datasets-server', 'datasets'] and then used all sources as it couldn't find relevant context in those 3 sources.
How/why did the agent chose those 3 data sources?
Were those sources picked by up the agent itself or were they set by the human?
Something doesn't look right here to me.
Thanks,
The text was updated successfully, but these errors were encountered:
The question is regarding - https://huggingface.co/blog/agents#self-correcting-retrieval-augmented-generation
The sources of docs in the vector index are ['blog', 'optimum', 'datasets-server', 'datasets', 'transformers', 'course',
'gradio', 'diffusers', 'evaluate', 'deep-rl-class', 'peft',
'hf-endpoints-documentation', 'pytorch-image-models', 'hub-docs']
For the query "Please show me a LORA finetuning script", the output shown in the blog shows that the agent first started with these 3 sources ['transformers', 'datasets-server', 'datasets'] and then used all sources as it couldn't find relevant context in those 3 sources.
How/why did the agent chose those 3 data sources?
Were those sources picked by up the agent itself or were they set by the human?
Something doesn't look right here to me.
Thanks,
The text was updated successfully, but these errors were encountered: