Results for "language"
Language Model
IntermediateA model that assigns probabilities to sequences of tokens; often trained by next-token prediction.
A language model is like a smart assistant that predicts what word comes next in a sentence based on the words that came before it. Imagine you’re playing a word game where you have to guess the next word in a sentence. The model learns from a huge amount of text, like books and articles, to unde...
Detects trigger phrases in audio streams.
Agent calls external tools dynamically.
Scaling law optimizing compute vs data.
One example included to guide output.
Multiple examples included in prompt.
Sampling multiple outputs and selecting consensus.
Breaking tasks into sub-steps.
Temporary reasoning space (often hidden).
Prompt augmented with retrieved documents.
Differences between training and inference conditions.
Enables external computation or lookup.
Small prompt changes cause large output changes.
Limiting inference usage.
Inferring human goals from behavior.
AI-assisted review of legal documents.
Fabrication of cases or statutes by LLMs.
AI proposing scientific hypotheses.
AI limited to specific domains.
Learning from data by constructing “pseudo-labels” (e.g., next-token prediction, masked modeling) without manual annotation.