Compare different tokenizers in char-level and byte-level.
Give URL get details about the company
Track, rank and evaluate open Arabic LLMs and chatbots
Extract relationships and entities from text
Generate vector representations from text
This is for learning purpose, don't take it seriously :)
Ask questions and get answers from PDFs in multiple languages
Predict NCM codes from product descriptions
Generative Tasks Evaluation of Arabic LLMs
Upload a PDF or TXT, ask questions about it
Generate Shark Tank India Analysis
Find the best matching text for a query
Retrieve news articles based on a query
Tokenizer Arena is a powerful tool designed for comparing and analyzing different tokenizers at both character-level and byte-level tokenization. It allows users to explore and understand how various tokenization methods process text data, making it an essential resource for text analysis and natural language processing tasks. The platform provides a comprehensive environment to evaluate and visualize tokenization outcomes, helping users make informed decisions about the best tokenization approach for their specific needs.
• Comparator Tool: Directly compare tokenization results from different methods side-by-side.
• Char-Level & Byte-Level Support: Analyze tokenization at both character and byte levels for deeper insights.
• Customizable Tokenizers: Define and test custom tokenization rules or use predefined models.
• Real-Time Comparison: Get instant results as you experiment with different tokenization approaches.
• Visualizations: Gain clarity with detailed charts and graphs that highlight differences in tokenization outputs.
• Export Capabilities: Save and share your comparison results for further analysis or collaboration.
What types of tokenizers are supported?
Tokenizer Arena supports a wide range of tokenizers, including popular pretrained models and custom-defined rules.
Can I customize the tokenization rules?
Yes, Tokenizer Arena allows you to define and test custom tokenization rules alongside predefined models.
How do I visualize the differences in tokenization outputs?
The tool provides visual representations, such as charts and graphs, to help you understand the differences in how text is tokenized.