Artificial Intelligence Software Architecture

How Jev Works: The Parallel Decision Model That Skips Token-by-Token JSON

Quick summary Target bounded decisions: Jev returns typed answers rather than free-form prose. Separate interface from speculation: the article distinguishes public behaviour from unconfirmed internals. Validate correctness: typed output still needs evaluation and calibrated thresholds. Control consequential use: log outcomes and review uncertain cases. How Jev works starts with a simple observation: most software does […]

LLM Software Architecture

Why LLMs Pause Before They Start: Time to First Token Explained

Quick summary Separate latency measures: first-token delay differs from later token cadence and total time. Inspect preparation work: retrieval, queueing, prompt processing and networking contribute. Measure the bottleneck: avoid treating every delay as model slowness. Reduce avoidable work: bound retrieval, reuse stable prefixes and tune serving policy. Time to first token (TTFT) explains a familiar […]

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