Speculative Decoding in vLLM: Draft, Verify, and Cut Latency Without Losing the Distribution
Large language model inference has an awkward performance profile: the GPU does enormous math, then waits. Every token requires a
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
AI agents have gotten remarkably good at reasoning, perceiving, and acting. But ask one to remember what you told it
Continue readingMetis: The First Memory Foundation Model That Learns to Remember
Every Sunday, I scan the open source landscape for projects that are gaining real traction — not just stars, but
Continue reading5 Trending GitHub Repos: Multiplayer Agents, 2 GB LLMs, and AI Writing Discipline