Sampling

Core Idea

Sampling is a method of selecting the next word in text generation based on probability, adding randomness to the output.

Explanation

Sampling is a decoding technique where the model chooses the next token based on a probability distribution, rather than always selecting the highest probability option. This introduces variation in responses, useful for creative applications. Common sampling methods include top-k sampling (selects from the k most likely tokens) and nucleus (top-p) sampling (chooses tokens until a cumulative probability threshold is reached).

Applications/Use Cases

• Creative Writing – Generates unique responses, such as story writing or poetry.
• Conversational AI – Adds diversity to chatbot responses for a more natural feel.
• Game Dialogue Generation – Randomized responses to enhance immersion and realism.

Related Resources

• TBD

Related People

• TBD

Related Concepts

• Decoding – Sampling is a type of decoding method for generating text.
• Top-K Sampling – Selects from the top-k most probable tokens for more controlled randomness.
• Nucleus Sampling – Chooses tokens based on a probability threshold for flexible output variety.