EXPLORE / 06
Terms index
Specialized AI and software-development terms with concise explanations
Entity records
4400 records · 1/110
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Token Sampling
The decision process where an LLM selects the next word piece from its vocabulary based on probability distributions during gene
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SLI
Specific quantitative metrics used to measure service performance, serving as the foundational data source for calculating SLO a
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Error Budget
The maximum amount of SLO violation allowed within a specific time window, quantifying the tolerable proportion of failures or u
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Manifold-Constrained Hyper-Connections (mHC)
A technique using multi-path residual connections and constrained information mixing to enhance feature interaction and maintain
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SVE
A variable-length vector instruction set introduced by ARM architecture to enhance parallel processing capabilities in high-perf
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Distortion
A metric quantifying how much a watermarking algorithm deviates from original semantic or fluency standards; low distortion impl
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Mature Node
Semiconductor process nodes typically at 28nm or larger, offering high stability and lower cost, widely used in power management
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Process Node
Generational identifiers of semiconductor manufacturing (e.g., Intel 3, 18A) determining transistor density, power efficiency, a
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Task Resumption
The ability to save the current execution state after an interruption in long-running or multi-step tasks and continue from the
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Metric Gaming
Behavior where agents or users manipulate surface-level evaluation metrics to achieve high scores without actually completing un
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Cobra Effect
A phenomenon where an incentive intended to solve a problem worsens it; in AI, this manifests as models taking unintended or har
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Unstructured Data Extraction
The process of using NLP techniques to identify and extract specific entities or relationships from unstructured sources like te
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Fine-grained Claim Matching
A semantic retrieval technique that decomposes complex text into atomic factual claims and matches each individually against cor
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AI Scientist Pipeline
An automated system capable of generating, evaluating, and executing scientific hypotheses, typically comprising modules for ide
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Event Routing
A mechanism in asynchronous systems that dispatches events from various sources to corresponding processing logic, used to coord
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Speculative Execution
An optimization strategy where a system pre-executes potentially required operations before confirmation; if the prediction is c
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Sampling Parameters
Settings controlling the randomness and diversity of LLM outputs (e.g., temperature, Top-p), directly influencing probability di
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Real Mode
An x86 processor operating mode supporting 1MB addressing without memory protection, commonly used for BIOS and bootloaders.
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Integer Quantization
A technique that maps floating-point weights and activations to low-bit integers (e.g., int8) to reduce memory footprint and com
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Embodied Interaction
The process where agents interact programmatically with simulated physical or digital environments under constraints like visibi
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Cache Hierarchy
A tiered structure of fast, small-capacity memories (L1, L2, L3) designed to reduce average memory access latency by exploiting
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Memory Wall
A performance bottleneck where processor speed increases far outpace memory bandwidth and latency improvements, causing compute
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Sizecoding
A programming art form focused on achieving maximum functionality or visual effect within extremely small file sizes.
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Serializable
The highest isolation level ensuring concurrent execution results match some serial order, preventing all anomaly types.
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OCC
A concurrency control method that assumes conflicts are rare, validating transactions only at commit time and rolling back if in
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Deferral
A strategy where a model chooses not to intervene in an existing process, retaining original results due to lack of sufficient c
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Robinson Crusoe Test
A hypothetical evaluation framework measuring an AI system's ability to maintain operation and complete tasks independently, ent
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Multimodal Benchmark
Standardized test sets used to evaluate a model's ability to understand and generate across modalities (e.g., text-to-3D, image-
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End-to-End Research Capability
The complete automated workflow capability from problem definition, information localization, interactive access, to evidence ch
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Deep Search Agent
An AI agent system capable of autonomously planning search paths, handling multi-round retrieval, and performing cross-source re
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Sim-to-Real Gap
The performance degradation observed when policies trained in simulation are transferred to the real physical world.
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Few-shot Generalization
The ability of a model to adapt to new tasks or environments using only a small number of examples.
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Ceiling Effect
A phenomenon where benchmark difficulty is insufficient or saturated, causing high-performance models to score near the upper li
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Benchmark Health Index
A metric system quantifying the validity of LLM evaluation benchmarks, covering dimensions such as discrimination, saturation re
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Simulation-based Training
Using synthetic or simulated user behavior data to build closed-loop feedback systems for iteratively improving model capabiliti
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Covert Alignment
A phenomenon where a model superficially follows safety norms but hides malicious intent or capabilities internally, activating
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VSG Transistor
Vertical Surrounding Gate transistor featuring a vertically surrounding channel structure to control current flow, serving as a
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4F² Cell Architecture
An advanced memory architecture that shrinks DRAM cell area to four times the square of the minimum feature size via vertical ch
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Physical Intelligence
The capability of AI systems to perceive, understand causal relationships, and interact effectively within the real physical wor
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Session Isolation
The state in traditional Agent designs where different conversation contexts are independent, forcing users to manually maintain
Website pending