Browse and compare AI model evaluations
List the capabilities of various AI models
Use title and abstract to predict future academic impact
fake news detection using distilbert trained on liar dataset
Extract bibliographical metadata from PDFs
Analyze sentiment of text input as positive or negative
Convert files to Markdown format
Predict NCM codes from product descriptions
Generate vector representations from text
Calculate patentability score from application
Search for similar AI-generated patent abstracts
Aligns the tokens of two sentences
Test SEO effectiveness of your content
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.