Topics

What Matrix Cognition covers, grouped.

• Tutorials

  Build something that works: retrieval, agents, fine-tuning, evals, serving, with complete code.

  4 article(s)

• Paper Readings

  What a paper claims, what it measured, and what holds up, cited by arXiv id.

  2 article(s)

• News and Releases

  Model releases, tooling changes, and benchmark movements, with primary sources and dates.

  1 article(s)

• Evaluation

  How to measure a model or a pipeline honestly: harnesses, datasets, statistics, and the traps.

  1 article(s)

• Systems

  Inference, quantisation, GPUs, cost, latency: the engineering under the model.

  1 article(s)