Compact computers can now run surprisingly large language models locally. But fitting a model into memory is not the same as running it quickly, and advertised NPU TOPS are a particularly poor substitute for measured LLM throughput.

This comparison focuses on single-user local inference and coding …

“TFX vs MLflow” is a slightly broken question. The two tools live on different layers of the ML stack, and treating them as substitutes is how teams end up with the wrong one.

• TFX is a pipeline framework. It defines how data becomes a validated, trained, evaluated and pushed model — as …

The conversation around LLM wikis needs to shift.

Andrej Karpathy’s original LLM Wiki gist describes something interesting: a persistent, compounding artifact maintained by an agent through three operations — ingest, query, lint. Raw sources flow in. The wiki absorbs them, cross-links them, …