EXPLORE / 06

Terms index

Specialized AI and software-development terms with concise explanations

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3186 records · 5/80

  1. 161

    CRD

    A Kubernetes extension mechanism allowing users to define new resource types for configuring domain-specific application logic.

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  2. 162

    PromQL

    The query language for Prometheus, used to retrieve, aggregate, and analyze metric data from the time-series database.

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  3. 163

    Prometheus

    An open-source systems monitoring and alerting toolkit that collects time-series data via pull model, widely used for cloud-nati

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  4. 164

    Context Inheritance

    In multi-agent or sequential task scenarios, subsequent instances read and reuse state notes or intermediate results generated b

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  5. 165

    Digital Signal Processing (DSP)

    The use of computers or specialized processors to perform mathematical operations on discrete-time signals; traditional hearing

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  6. 166

    Deep Neural Network (DNN)

    A machine learning architecture composed of multiple layers of nonlinear units that automatically extracts features from large d

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  7. 167

    Screen Automation

    Agent technology that parses UI elements via computer vision or accessibility services to simulate human interactions like click

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  8. 168

    Chemical Mechanical Polishing (CMP)

    A planarization process combining chemical corrosion and mechanical grinding using slurry abrasives to remove excess material, a

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  9. 169

    LPDDR

    DRAM standard optimized for mobile and edge devices, emphasizing power efficiency and low-voltage operation, common in smartphon

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  10. 170

    Agent-Driven Development

    A software development paradigm where AI agents autonomously generate code, run tests, and iterate, requiring infrastructure tha

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  11. 171

    AI Accelerator Chip

    Processors optimized for AI workloads that significantly accelerate deep learning model training and inference through parallel

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  12. 172

    Sparse Checkout

    A technique allowing users to check out only specific files or directories in the working tree rather than the entire repository

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  13. 173

    Shallow Clone

    A Git operation that fetches only recent commits instead of the full history, reducing data transfer size and disk usage.

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  14. 174

    Personal Context Awareness

    A technical mechanism where AI systems understand current contexts and provide personalized services based on locally stored use

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  15. 175

    Autonomous Weapons Systems

    Military systems using AI to select and engage targets without human intervention, raising significant ethical and legal concern

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  16. 176

    Retinal Prosthesis

    An electronic implant that replaces damaged photoreceptor cells by sending electrical signals to the optic nerve to reconstruct

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  17. 177

    Sampling Profiling

    A low-overhead method inferring performance hotspots by periodically interrupting execution to record call stacks, distinct from

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  18. 178

    SVG Generation

    The ability of LLMs to write Scalable Vector Graphics code directly, often used to test spatial structure, geometric constraints

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  19. 179

    Inference Gateway

    An intermediate layer between clients and backend model services handling routing, load balancing, authentication, and traffic c

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  20. 180

    End-to-End Policy

    A neural architecture mapping raw sensory inputs directly to final actions, bypassing hand-crafted intermediate features or plan

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  21. 181

    Dexterous Manipulation

    The ability of robots to perform high-precision grasping and assembly of unstructured objects using multi-DOF end-effectors, oft

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  22. 182

    Long-Horizon Autonomy

    The capability of an agent to execute multi-step, context-dependent complex tasks over extended time scales without human interv

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  23. 183

    AI Safety Alignment

    The field ensuring AI systems' goals, behaviors, and values align with human intent and social norms to prevent harmful outputs

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  24. 184

    Kernel Specialization

    Customizing low-level CUDA or assembly code for specific hardware architectures to maximize parallel efficiency and minimize mem

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  25. 185

    NVFP4 Quantization

    A technique compressing model weights into 4-bit floating-point format to reduce memory usage and boost inference throughput whi

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  26. 186

    Compute Efficiency

    A metric measuring computational throughput per unit of energy or time, critical for reducing LLM training and inference costs.

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  27. 187

    Implementation Decision Record (IDR)

    A documentation format inspired by ADRs, designed to capture specific technical choices and trade-off rationales during coding f

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  28. 188

    Insider Threat Detection

    Security mechanisms identifying malicious or negligent actions by internal personnel, often leveraging User Behavior Analytics (

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  29. 189

    Amazon Bedrock AgentCore

    A managed runtime environment from AWS for building, deploying, and scaling generative AI agents, featuring memory, tool calling

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  30. 190

    HTTP 402 Payment Required

    A reserved HTTP status code indicating that payment is required to access the requested resource, often used as a protocol basis

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  31. 191

    Code Bloat

    The presence of excessive, redundant, or inefficient code in software systems, increasing maintenance difficulty and reducing pe

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  32. 192

    Layer Reuse

    Repeatedly using trained layer weights within a single forward pass instead of adding new parameters, aiming for deeper effectiv

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  33. 193

    Dynamic Early Stopping

    Automatically terminating the loop before reaching max iterations based on confidence or loss thresholds to balance compute cost

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  34. 194

    Recurrent Inference

    An inference strategy where a model traverses the same layers or states multiple times to refine outputs or solve tasks requirin

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  35. 195

    Jetpack Compose

    Android's modern declarative UI toolkit that builds interfaces directly with Kotlin code, replacing traditional XML layouts.

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  36. 196

    Model Router

    A middleware architecture that automatically dispatches requests to the most suitable LLM based on task complexity, type, or exp

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  37. 197

    Token Pricing Model

    Differential pricing strategy based on input and output token counts, where output tokens typically cost more due to higher comp

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  38. 198

    Output Context Window

    The maximum number of tokens a model can generate in a single inference pass, distinct from input windows, determining completen

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  39. 199

    Brooks's Law

    An empirical rule stating that adding manpower to a late software project makes it later, due to communication complexity growin

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  40. 200

    Agentic Workload

    Task patterns involving multi-turn interactions, tool calls, and long-context maintenance, characterized by frequent reuse of id

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