Browse and compare AI model evaluations
Find collocations for a word in specified part of speech
Generate answers by querying text in uploaded documents
Determine emotion from text
Type an idea, get related quotes from historic figures
Find the best matching text for a query
Detect harms and risks with Granite Guardian 3.1 8B
Display and explore model leaderboards and chat history
Playground for NuExtract-v1.5
Analyze Ancient Greek text for syntax and named entities
ModernBERT for reasoning and zero-shot classification
Check text for moderation flags
fake news detection using distilbert trained on liar dataset
Skillmix is a platform designed for exploring and comparing AI model evaluations, particularly in the domain of Text Analysis. It provides users with a comprehensive toolset to browse, analyze, and compare various AI models based on their performance metrics, use cases, and capabilities. Whether you're a researcher, developer, or data scientist, Skillmix helps you make informed decisions when selecting AI models for your projects.
• Model Evaluation Browser: Access detailed evaluations of AI models across multiple tasks and datasets.
• Comparison Tools: Compare performance metrics of different models side-by-side.
• Custom Filters: Narrow down models based on specific criteria like accuracy, speed, or supported languages.
• Benchmark Results: View standardized benchmarks to understand model strengths and weaknesses.
• Use Case Recommendations: Get suggestions for the best models suited to your specific task or industry.
What is the primary purpose of Skillmix?
Skillmix is designed to help users explore, evaluate, and compare AI models for text analysis tasks, enabling them to make informed decisions for their projects.
How often are the model evaluations updated?
Skillmix updates its model evaluations regularly to reflect the latest advancements in AI research and technology.
Can I customize the models or training data in Skillmix?
No, Skillmix primarily focuses on evaluating pre-trained models. For custom training or fine-tuning, you may need to integrate the selected model with external tools or frameworks.