Every request that hits an LLM server pays the same tax before the first generated token appears: the prompt must
Continue readingvLLM Prefix Caching: The Prefill Optimization You’re Already Running
Ask an LLM for JSON and you will usually get JSON. “Usually” is the word that ruins your week. One
Continue readingConstrained Decoding: How Structured LLM Output Actually Works
Large language model inference has an awkward performance profile: the GPU does enormous math, then waits. Every token requires a
The commits that caught my attention this week range from a vector database that shrinks a 31 GB corpus into
The default answer to “make the agent better” is a better model. But a growing pile of evidence says that
Three model releases in ten days have made one thing clear: the frontier story of late 2026 is not bigger
Every week a handful of open source projects break out of the usual noise and start accumulating real traction. This
Alibaba’s Qwen team just shipped Qwen3.8-Max, and it arrives at a strange moment in the AI race. We’re past the
Reinforcement Learning with Verifiable Rewards (RLVR) has become the engine behind modern reasoning models. The recipe is straightforward: let a
Shipping an LLM-powered feature without an evaluation pipeline is like deploying a microservice without health checks — it might work
Continue readingBuilding LLM Evaluation Pipelines: Metrics, Frameworks, and CI Integration