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Text Generation
Beam Search Visualizer

Beam Search Visualizer

View how beam search decoding works, in detail!

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What is Beam Search Visualizer ?

Beam Search Visualizer is a tool designed to help users understand and explore the beam search decoding process in text generation. It provides a detailed, interactive visualization of how beam search works, making it easier to analyze and interpret the decoding steps involved in generating text.

Features

  • Real-time Visualization: Watch beam search in action as it generates text step by step.
  • Interactive Interface: Adjust parameters like beam width and length to see how they affect the output.
  • Step-by-Step Decoding: Track the progression of each candidate sequence in the beam.
  • Customizable Settings: Modify key hyperparameters to experiment with different generation strategies.
  • Detailed Diagnostics: Access insights into the search process, including scores and probabilities.

How to use Beam Search Visualizer ?

  1. Launch the Beam Search Visualizer tool.
  2. Input or upload your text prompt for generation.
  3. Adjust the beam width, maximum sequence length, and other parameters as needed.
  4. Start the visualization process to observe the beam search in action.
  5. Analyze the generated sequences and their corresponding scores.
  6. Experiment with different settings to explore various generation outcomes.

Frequently Asked Questions

What is beam search decoding?
Beam search is a heuristic search algorithm used to generate text by exploring the most promising candidates (sequences) at each step, balancing diversity and quality.

Is Beam Search Visualizer compatible with all text generation models?
Beam Search Visualizer is designed to work with models that support beam search decoding. It may not be compatible with models that use other decoding methods.

Can I customize the visualization settings?
Yes, users can adjust beam width, maximum sequence length, and other parameters to tailor the visualization and generation process to their needs.

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