Using computer vision and LLMs to build a real-time personal trainer

Show HN: Agentic Evaluators for Agentic Workflows (Starting with RAG)

Using computer vision and LLMs to build a real-time personal trainer is a company in show hn launch.

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Hey all! Thought this group might find this interesting - new approach to evaluating RAG pipelines using 'agents as a judge'. We got excited by the findings in this paper (https://arxiv.org/abs/2410.10934), about agents producing evaluations closer to human-evaluators, especially for multi-step workflows.Our first use case was RAG pipelines, specifically evaluating if your agent MISSED pulling any important chunks from the source document. While many RAG evaluators determine if your model USED its chunk in the output, there's no visibility on if your model grabbed all the right chunks in the first place. We thought we'd test the 'agent as judge', with a new metric called 'potential sources m

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Website: blog.lytix.co/posts/agentic_rag