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AI Alignment
Research and design for relating AI behavior to human intentions, values and constraints, including reward proxies, feedback and operational evaluation.
AI for Science
AI-assisted scientific prediction and candidate selection, with attention to experimental validation, data leakage and the scope of automated research.
Attention
A mechanism that lets a neural network weigh the relevance of different positions when computing a representation.
Context Window
The amount of tokenized input and generated text a model can consider within one inference context.
Inference
The process of running a trained model on new input to produce predictions, embeddings, or generated output.
KV Cache
A cache of attention keys and values used to avoid recomputing earlier context during autoregressive generation.
Latency and Throughput
Two core serving metrics describing response delay and the amount of work a system completes over time.
Transformer
A neural network architecture that processes sequences primarily through attention mechanisms.