attention,attention mechanism,qkv
Attention computes Query-Key-Value: softmax(QK^T/sqrt(d))V. Each token attends to all others, enabling long-range dependencies.
513 technical terms and definitions
Attention computes Query-Key-Value: softmax(QK^T/sqrt(d))V. Each token attends to all others, enabling long-range dependencies.
AttentionNAS discovers efficient attention mechanisms and architectures jointly through neural architecture search.
Use attention to guide mixing.
AttentiveNAS uses attention mechanisms to predict architecture performance from training statistics without full training.
Partially transmit and phase-shift light.
Attribute agreement analysis assesses consistency of categorical judgments between appraisers.
Edit specific image attributes.
Charts for discrete data.
Whether attributed sources are correct.
Provide sources for claims.
Attribute predictions to components.
Attribution links generated claims to supporting evidence in sources.
Track which retrieved sources support each part of the generated answer.
Discrete audio tokens from neural codecs enable language model approaches to audio generation.
Create music speech or sound effects using AI.
Audio generation creates speech (TTS) or music. WaveNet, Bark, MusicGen. Multimodal applications.
Fill in missing or corrupted portions of audio.
Audio-driven animation systems generate facial expressions and head movements from speech signals.
Match audio and video.
Learn associations between audio and vision.
Audio-visual fusion combines acoustic and visual features through concatenation attention or multiplicative interactions.
Learn from audio and video together.
Audio-visual source separation uses visual information about sound sources to guide separation of mixed audio into individual components.
Use both audio and lip movements.
Audio-visual speech synchronization aligns acoustic features with visual lip movements for improved recognition in noisy environments.
Determine if audio and video are synced.
Audio models handle speech-to-text (ASR), text-to-speech (TTS), and voice conversation. They enable real-time voice assistants around an LLM core.
AudioLM generates natural speech and coherent audio continuations by combining semantic tokens with acoustic tokens in a hierarchical framework.
Generate coherent audio continuations using language modeling.
Third-party quality assessment.
Self-assessment of quality system.
Audit checklists guide systematic examination of requirements.
Audit findings document nonconformances or opportunities for improvement.
Log all LLM interactions for audit. Include inputs, outputs, timestamps, user IDs. Required for compliance.
Record all model accesses for accountability.
Audit schedules plan systematic reviews ensuring compliance and effectiveness.
Surface elemental analysis with depth profiling.
Three-particle recombination process.
Adversarial augmentation.
Augmentation maximizing difficulty.
Data augmentation creates synthetic examples. Flip, rotate, crop images.
Add extra dimensions for more expressive dynamics.
Auth0 provides authentication. Identity management.
Confirm content hasn't been tampered with.
Detect periodic patterns.
Automatically generate chain-of-thought examples.
Automatically adjust resources based on demand.
Auto-vectorization automatically generates SIMD code from scalar operations.
Compiler-generated vectorization.
Ensemble of attacks for robust evaluation.