Submit model predictions and view leaderboard results
Ask questions about air quality data with pre-built prompts or your own queries
Provide feedback on text content
fake news detection using distilbert trained on liar dataset
Identify named entities in text
Humanize AI-generated text to sound like it was written by a human
Analyze sentiment of text input as positive or negative
Generate keywords from text
Generate answers by querying text in uploaded documents
Generate insights and visuals from text
Find the best matching text for a query
Easily visualize tokens for any diffusion model.
Test SEO effectiveness of your content
Leaderboard is a tool designed for Text Analysis that allows users to submit model predictions and view leaderboard results. It serves as a platform to compare and evaluate the performance of different AI models, providing insights into their accuracy and effectiveness. Users can leverage Leaderboard to identify top-performing models, analyze trends, and refine their own models based on competitive benchmarks.
• Submission of Model Predictions: Easily upload your model's predictions for evaluation.
• Real-time Leaderboard Updates: Track your model's performance as results are processed.
• Performance Comparison: Compare your model's accuracy against others in the same category.
• Detailed Result Visualization: Access charts, graphs, and metrics to understand performance gaps.
• Customizable Filters: Narrow down results by specific criteria like model type or dataset.
1. What types of models can I submit to Leaderboard?
Leaderboard supports a wide range of AI models focused on Text Analysis, including but not limited to NLP, sentiment analysis, and language translation models.
2. How often is the leaderboard updated?
The leaderboard is updated in real-time as new predictions are submitted and processed.
3. What do the rankings on Leaderboard signify?
Rankings reflect the relative performance of models based on predefined metrics such as accuracy, precision, and recall. Higher positions indicate better performance compared to other submissions.