Show HN: ride-recap, teaching a LLM my taste to automate cycling highlights
What happened
The project "ride-recap" is a tool that lets a large language model learn a cyclist’s personal preferences for highlighting moments from their rides, automatically generating concise, customized ride summaries. By feeding the LLM examples of what the user finds interesting, it can produce tailored recaps without manual editing, streamlining post‑ride analysis for enthusiasts and athletes.
Why it matters
This demonstrates a practical, user‑specific fine‑tuning approach for LLMs, showing how AI can personalize content creation in niche domains and potentially expand into other hobby‑ or sport‑focused automation applications.
Is this a big deal?
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