Tiktokenizer
Tokenization visualization tool for llms
Listed in categories:
APIArtificial IntelligenceProductivity
Description
Tiktokenizer is a tokenization visualization tool designed for large language models (LLMs) such as GPT, Llama, and Qwen. It helps users understand how text is broken down into tokens, which is essential for optimizing prompts and reducing token usage.
How to use Tiktokenizer?
To use Tiktokenizer, simply input your text into the provided field and select the model you wish to analyze. The tool will then display the tokenization results, allowing you to visualize how the text is broken down into tokens.
Core features of Tiktokenizer:
1️⃣
Tokenization visualization for various large language models
2️⃣
Support for multiple models including GPT-4, Llama 2, and Qwen
3️⃣
Optimization of prompts to reduce token usage
4️⃣
Lowering API costs through better understanding of tokenization
5️⃣
User-friendly interface for exploring tokenization results
Why could be used Tiktokenizer?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Developers optimizing prompts for LLMs | ✅ | |
| # 2 | Researchers analyzing tokenization algorithms | ✅ | |
| # 3 | Businesses reducing API costs by understanding token usage | ✅ | |
Who developed Tiktokenizer?
Tiktokenizer is built by 1000ai, a company focused on developing tools for artificial intelligence and machine learning applications.