Perplexity and BLEU tell you nothing about whether an automated customer journey actually goes anywhere. The CDP framework scores continuity, deepening and progression against a taxonomy of journey stages instead.
LLM-as-judge asks a model that hallucinates to catch hallucinations. Displacement Consistency scores the vector between a question and its answer against grounded neighbors instead, with no source document and no second model call at inference time.
The cross-entropy layer is where LLM training tends to run out of VRAM. This post walks through fusing the linear projection and the loss into one Triton kernel, why tiling and online softmax cut peak memory by 84%, and where my first attempt went wrong.
The Core-AI team shipped v0.1.0 of the WordPress PHP AI Client SDK. It is a provider-agnostic Composer package you bundle into your own plugin, so swapping the LLM behind a feature stops being a refactor.
Healthcare treats data as an ontology rather than a row, which is why its knowledge graphs outlive the systems built on them. Layered ontologies, regulated vocabularies, and what web developers could borrow from both.
Version 0.2.0 of WordPress AI Experiments adds excerpt generation that authors can edit or reject, and an Abilities Explorer screen for testing every registered ability in the browser.
After 14 years I moved most of my work out of the IDE and into the terminal: Claude Code in Warp, a Git worktree per agent so they stop colliding, and stored slash commands so I am not retyping the same prompt.
Junk topics usually mean the pipeline is wrong, not the data. Here is how seeded KeyNMF and an LLM summarization step keep a topic model focused without burning the whole compute budget.
Ninety percent accuracy sounds fine until the wrong JOIN lands on a production database. This covers why Execution Accuracy beats Exact Match, what Spider 2.0 exposed about enterprise schemas, and how to ground an LLM on the schema you actually have.
Notes on building a data-driven goal tracker with Python, Streamlit and Neon: one schema for daily habits and quarterly milestones, ISO-8601 week boundaries so the weekly numbers do not drift, and a REST API bridge when the data has to land in WordPress.