View how beam search decoding works, in detail!
Submit Hugging Face model links for quantization requests
Generate text responses using different models
Generate detailed script for podcast or lecture from text input
Write your prompt and the AI will make it better!
Generate detailed IKEA instructions
Generate detailed prompts for text-to-image AI
Generate text based on your input
VQA
Generate responses to text instructions
F3-DEMO
Generate detailed prompts for Stable Diffusion
Transcribe audio files to text using Whisper
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.
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.