Language Model Playground

Experiment with different language models and generation strategies

Temperature: 0.7

Controls randomness (0 = deterministic, 2 = very random)

Max Tokens: 50

Maximum length of generated text

Top-p: 0.9

Nucleus sampling threshold

Input Prompt:

Generated Output:

Generated text will appear here...

Text Generation

Completion

Creative Writing

Code Generation

Model Type

Decoder-only

Parameters

175B (GPT-3)

Description

Autoregressive language model for text generation

Temperature0.7

Max Tokens50

Top-p0.9

Greedy Decoding

Always picks most likely next token

Beam Search

Maintains multiple candidate sequences

Nucleus Sampling

Samples from top-p probability mass

Lower temperature for more focused, coherent text

Higher temperature for more creative, diverse output

Use specific prompts for better results

Adjust max tokens based on desired length