Results for "integration"

Letting an LLM call external functions/APIs to fetch data, compute, or take actions, improving reliability.

Constraining outputs to retrieved or provided sources, often with citation, to improve factual reliability.

A preference-based training method optimizing policies directly from pairwise comparisons without explicit RL loops.

Practices for operationalizing ML: versioning, CI/CD, monitoring, retraining, and reliable production management.

Automated testing and deployment processes for models and data workflows, extending DevOps to ML artifacts.

Coordinating tools, models, and steps (retrieval, calls, validation) to deliver reliable end-to-end behavior.

Constraining model outputs into a schema used to call external APIs/tools safely and deterministically.

Forcing predictable formats for downstream systems; reduces parsing errors and supports validation/guardrails.

Extending agents with long-term memory stores.

Models evaluating and improving their own outputs.

Combining signals from multiple modalities.

Incrementally deploying new models to reduce risk.

Maintaining two environments for instant rollback.

Interleaving reasoning and tool use.

Belief before observing data.

Coordinating models, tools, and logic.

Enables external computation or lookup.

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

Motion considering forces and mass.

Motion of solid objects under forces.

Software simulating physical laws.

AI applied to X-rays, CT, MRI, ultrasound, pathology slides.

AI supporting legal research, drafting, and analysis.

AI-assisted review of legal documents.

AI applied to scientific problems.

AI selecting next experiments.

Ensuring AI allows shutdown.

The field of building systems that perform tasks associated with human intelligence—perception, reasoning, language, planning, and decision-making—via algori...