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Next steps

  • Pull sample dataset
  • generate benchmark tests against dataset to gauge efficacy of models
  • run benchmark tests against huggingface models
  • create functions library for LLMs to meet feature requirements

Benchmark test outline

  • Contextual understanding and recommendations
  • research agent subroutines
  • advanced similarity search
  • source quality analysis

Feature roadmap

Data Gathering

  • source quality analysis and filtration
  • semi-autonomous research assistants
  • similarity search in parallel to current activity

Browser Data Management

  • Consume and sort set of bookmarks / session data
  • NLP interface for managing bookmark organization

Proactive Information Management