Results for "LM quality metric"

Systematic review of model/data processes to ensure performance, fairness, security, and policy compliance.

Stochastic generation strategies that trade determinism for diversity; key knobs include temperature and nucleus sampling.

Scales logits before sampling; higher increases randomness/diversity, lower increases determinism.

Maliciously inserting or altering training data to implant backdoors or degrade performance.

Converting audio speech into text, often using encoder-decoder or transducer architectures.

Models evaluating and improving their own outputs.

Generating speech audio from text, with control over prosody, speaker identity, and style.

Learns the score (∇ log p(x)) for generative sampling.

Models trained to decide when to call tools.

Controls amount of noise added at each diffusion step.

Generator produces limited variety of outputs.

Generating human-like speech from text.

Generates audio waveforms from spectrograms.

Incrementally deploying new models to reduce risk.

Competitive advantage from proprietary models/data.

Sample mean converges to expected value.

Sum of independent variables converges to normal distribution.

One example included to guide output.

Multiple examples included in prompt.

Sampling multiple outputs and selecting consensus.

Asking model to review and improve output.

AI used in sensitive domains requiring compliance.

Devices measuring physical quantities (vision, lidar, force, IMU, etc.).

Learning action mapping directly from demonstrations.

Sampling-based motion planner.

Inferring human goals from behavior.