NLP
Temperature
A dial that controls how creative or predictable an AI's responses are, low = focused and safe, high = wild and creative.
Definition
A parameter that controls the randomness of LLM outputs. Lower temperatures (0.0-0.3) produce more deterministic, focused outputs; higher temperatures (0.7-1.0) produce more diverse, creative responses.
Why it matters
Critical for tuning AI behavior, factual tasks need low temperature; creative tasks need higher temperature.
Related terms in NLP
BERT
Google's breakthrough AI model that reads sentences in both directions at once to understand context better.
Chain of Thought (CoT)
Asking an AI to "show its work" and think step-by-step, which makes it much better at solving math and logic problems.
Context Window
The maximum amount of text an AI can read and consider at one time, like how many pages of notes it can hold in its head.
Conversational AI
AI that can have natural back-and-forth conversations with humans, chatbots, voice assistants, and customer service bots.
From vocabulary to outcomes
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