What is Top-k Sampling?
A method for controlling AI text generation by only considering the k most likely next words at each step.
Why It Matters
Top-k sampling helps balance output quality and creativity by limiting the pool of candidate words.
Real-World Example
With top-k set to 50, the model only picks from the 50 most probable next words rather than the entire vocabulary.
“Understanding terms like Top-k Sampling matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Temperature (AI)
A setting that controls how creative or predictable an AI model's responses are.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Inference
The process of using a trained AI model to generate predictions or outputs from new input data.
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Related Terms
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Inference
The process of using a trained AI model to generate predictions or outputs from new input data.
Temperature (AI)
A setting that controls how creative or predictable an AI model's responses are.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...
Attention Mechanism
A technique that lets AI models focus on the most relevant parts of the input when generating output.
Tokenisation
The process of breaking text into smaller pieces called tokens that an AI model can process.