Results for "trigger-based behavior"

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36 results

Wake Word Detection Intermediate

Detects trigger phrases in audio streams.

Speech & Audio AI
Loss Function Intermediate

A function measuring prediction error (and sometimes calibration), guiding gradient-based optimization.

Foundations & Theory
Transformer Intermediate

Architecture based on self-attention and feedforward layers; foundation of modern LLMs and many multimodal models.

Transformers & LLMs
Semantic Search Intermediate

Retrieval based on embedding similarity rather than keyword overlap, capturing paraphrases and related concepts.

Foundations & Theory
DPO Intermediate

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

Optimization
VC Dimension Intermediate

A measure of a model class’s expressive capacity based on its ability to shatter datasets.

AI Economics & Strategy
Boltzmann Machine Intermediate

Probabilistic energy-based neural network with hidden variables.

Model Architectures
Control Loop Advanced

Continuous loop adjusting actions based on state feedback.

Robotics & Embodied AI
RRT Advanced

Sampling-based motion planner.

Motion Planning & Navigation
Prompt Intermediate

The text (and possibly other modalities) given to an LLM to condition its output behavior.

Prompting & Instructions
Prompt Engineering Intermediate

Crafting prompts to elicit desired behavior, often using role, structure, constraints, and examples.

Prompting & Instructions
System Prompt Intermediate

A high-priority instruction layer setting overarching behavior constraints for a chat model.

Reinforcement Learning
Fine-Tuning Intermediate

Updating a pretrained model’s weights on task-specific data to improve performance or adapt style/behavior.

Large Language Models
Alignment Intermediate

Ensuring model behavior matches human goals, norms, and constraints, including reducing harmful or deceptive outputs.

Foundations & Theory
Guardrails Intermediate

Rules and controls around generation (filters, validators, structured outputs) to reduce unsafe or invalid behavior.

Reinforcement Learning
LIME Intermediate

Local surrogate explanation method approximating model behavior near a specific input.

Foundations & Theory
Adversarial Example Intermediate

Inputs crafted to cause model errors or unsafe behavior, often imperceptible in vision or subtle in text.

Foundations & Theory
Backdoor / Trojan Intermediate

Hidden behavior activated by specific triggers, causing targeted mispredictions or undesired outputs.

Foundations & Theory
Orchestration Intermediate

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

Foundations & Theory
Inner Alignment Advanced

Ensuring learned behavior matches intended objective.

AI Safety & Alignment
Model Documentation Intermediate

Required descriptions of model behavior and limits.

Governance & Ethics
Inverse Reinforcement Learning Advanced

Inferring reward function from observed behavior.

Reinforcement Learning
Commonsense Physics Frontier

Human-like understanding of physical behavior.

World Models & Cognition
Human-in-the-Loop Control Frontier

Humans assist or override autonomous behavior.

World Models & Cognition
Intent Recognition Frontier

Inferring human goals from behavior.

World Models & Cognition
Formal Verification Advanced

Mathematical guarantees of system behavior.

Agents & Autonomy
Emergence Advanced

System-level behavior arising from interactions.

Dynamics & Physics
Swarm Dynamics Advanced

Collective behavior without central control.

Dynamics & Physics
Tripwire Advanced

Signals indicating dangerous behavior.

AI Safety & Alignment
Energy-Based Model Intermediate

Models that define an energy landscape rather than explicit probabilities.

Model Architectures

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