Provide feedback on AI responses to prompts
Upload files to a Hugging Face repository
Create a report in BoAmps format
Display trending datasets and spaces
Display translation benchmark results from NTREX dataset
Display html
Browse TheBloke models' history
Data annotation for Sparky
Upload files to a Hugging Face repository
Manage and label datasets for your projects
Speech Corpus Creation Tool
A collection of parsers for LLM benchmark datasets
Create a domain-specific dataset seed
Feedback App is a powerful tool designed to provide feedback on AI responses to prompts. It allows users to evaluate and improve the quality of AI-generated outputs, ensuring they meet specific criteria or requirements. This app is particularly useful for training, refining, and enhancing AI models by incorporating human feedback.
• Real-time Feedback Collection: Collect feedback on AI responses instantly.
• Customizable Feedback Criteria: Define specific criteria for evaluation (e.g., relevance, accuracy, fluency).
• Sentiment Analysis: Automatically analyze the tone and sentiment of AI responses.
• Data Export: Export feedback data for further analysis or reporting.
• Collaboration Tools: Share feedback with team members or stakeholders.
What is Feedback App used for?
Feedback App is used to evaluate and improve AI-generated responses by providing structured feedback.
How can I customize the feedback criteria?
You can customize feedback criteria by selecting or creating custom evaluation parameters in the app settings.
Who can benefit from using Feedback App?
AI developers, researchers, and users who need to refine AI outputs for specific tasks or projects can benefit from using Feedback App.