tools.showhntoday
Product Manager's Interpretation
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  • Highlight 1

    SMELL provides customized evaluations based on human feedback, making it highly relevant for specific industries and use cases.

  • Highlight 2

    The availability of both a notebook and a hosted API allows users to easily experiment and integrate the framework with their own datasets.

  • Highlight 3

    The platform invites contributions from users and researchers, fostering community engagement and enhancing the evaluative process.

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  • Improvement 1

    More comprehensive documentation and examples could enhance user understanding and ease of use, particularly for new users unfamiliar with LLMs.

  • Improvement 2

    The design of the interface could be improved to enhance usability, making it more intuitive for users to navigate through its features.

  • Improvement 3

    Providing clear metrics and benchmarking results for the evaluations could help users better assess the effectiveness of SMELL in comparison to other evaluation methods.

Suggestions
  • Product Functionality

    Consider adding more interactive features, such as tutorials or guided walkthroughs for new users to better demonstrate the capabilities of SMELL.

  • UI & UX

    Improve the interface design for better navigation, including clearer labels and a more streamlined structure for accessing various features.

  • SEO or Marketing

    Develop a blog or resource center providing case studies and examples of successful applications of SMELL, which could help improve SEO and attract more users.

  • MultiLanguage Support

    Implement support for multiple languages to broaden the reach and usability of SMELL for non-English speaking users.

FAQ
  • 1

    What is SMELL?

    SMELL is a framework that combines human expertise with language models (LLMs) to create feedback-informed, domain-specific evaluators.

  • 2

    How can I use SMELL?

    You can use SMELL through a hosted API or by accessing the provided notebook for testing with your datasets.

  • 3

    Can I collaborate on research with SMELL?

    Yes, you can collaborate by sharing datasets with the SMELL team, who will publish results based on your contributions with full attribution.