Token Probability Distribution
Explore token probability distributions with sliders
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What is Token Probability Distribution ?
Token Probability Distribution is a data visualization tool designed to explore and analyze the probability distribution of tokens in a given dataset. It allows users to interactively visualize how probabilities are spread across different tokens, such as words, characters, or symbols, using intuitive sliders and real-time updates. This tool is particularly useful in understanding patterns, trends, and relationships within text data.
Features
• Interactive Visualization: Explore token probabilities with dynamic sliders that allow real-time adjustments.
• Customizable Parameters: Adjust probability thresholds, token lengths, and distribution types to suit your analysis needs.
• Multiple Chart Types: Visualize distributions using bar charts, histograms, or heatmaps for better insights.
• Export Options: Save visuals or data for further analysis or reporting.
• Handling High-Dimensional Data: Easily manage and visualize large datasets with advanced filtering and aggregation options.
How to use Token Probability Distribution ?
- Load Your Data: Import a dataset containing tokens (e.g., text or symbols).
- Calculate Probabilities: Use the tool to compute probability distributions for the tokens.
- Configure Visualization: Select a chart type (e.g., bar chart, histogram) and customize colors, scales, and other styling options.
- Adjust Parameters: Utilize sliders to modify probability thresholds or token lengths in real time.
- Analyze Results: Interpret the visualized data to identify patterns, trends, or anomalies.
- Export Results: Save the visualization or raw data for further use.
Frequently Asked Questions
What is the main purpose of Token Probability Distribution?
The main purpose is to visualize and analyze how probabilities are distributed across tokens, helping users identify important tokens or patterns in their data.
How do I adjust token probabilities using the tool?
Use the interactive sliders to modify thresholds or token lengths, and the visualization will update in real time to reflect these changes.
Can I use Token Probability Distribution for non-text data?
Yes, the tool supports any type of token data, including symbols, characters, or custom tokens, making it versatile for various applications.