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Glosarium AI

Kamus lengkap Kecerdasan Buatan

162
kategori
2.032
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23.060
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End-to-End Latency

Measurement of the total time elapsed between a user sending a request and receiving the complete response, including all processing steps of the QA system.

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Semantic Cache

Mechanism for temporarily storing answers based on the semantic similarity of queries, allowing for quick serving of pre-computed answers for similar questions without recalculation.

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Real-Time Inverted Index

A data structure that continuously updates the mapping of terms to documents, enabling instant querying of newly added or modified data.

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Dense Retrieval Model

An approach using vector embeddings to represent documents and queries in a common semantic space, optimized for fast and accurate search.

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Online Neural Reranking

The process of re-evaluating search results by a deep learning model applied dynamically to refine the order of the most relevant answers.

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Asynchronous Processing Pipeline

An architecture where processing steps run in parallel without blocking the main flow, reducing the user-perceived latency.

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Pre-computation of Representations

A strategy involving generating and storing document encoding vectors in advance to eliminate this costly step during real-time queries.

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Knowledge Sharding

Horizontal partitioning of the knowledge base across multiple nodes to parallelize searches and increase the throughput of simultaneous queries.

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Low-Latency Filtering

Fast filtering layer using heuristics or lightweight models to eliminate irrelevant candidates before processing by more complex models.

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Response Streaming

Method of transmitting responses in successive fragments as they are generated, improving the perceived response time for long answers.

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Vector Pruning

Process of reducing the search space by eliminating less relevant vectors based on pre-calculated distance or similarity metrics.

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Batched GPU Inference

Optimization technique that groups multiple requests to process them simultaneously on a GPU, maximizing resource utilization and reducing per-request latency.

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Hybrid Search System

Architecture combining keyword-based (sparse) and semantic (dense) search to balance precision and recall while maintaining low latency.

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Persistent Connection (WebSocket)

Bidirectional communication protocol kept open between client and server, allowing instant exchanges without connection overhead for each request.

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Multi-Level Caching

Strategy for storing responses at multiple layers (e.g., memory, Redis, CDN) to serve requests from the fastest available cache.

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Request Path Optimization

Analysis and refinement of a request's journey through the system to eliminate bottlenecks and minimize each network hop or processing step.

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