SMELL (Subject-Matter Expert Language Liaison) is a new framework designed to enhance LLM evaluation by integrating human feedback, addressing the limitations of current evaluation methods and offering customizable evaluators specific to various industries or use cases.
Machine Learning, Natural Language Processing, API Integration
2024-10-14
- website
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.
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.
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.
- 1
What is SMELL?
SMELL is a framework that combines human expertise with language models (LLMs) to create feedback-informed, domain-specific evaluators.
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How can I use SMELL?
You can use SMELL through a hosted API or by accessing the provided notebook for testing with your datasets.
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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.