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Sofia Lindqvist, Julia Fernandes
A monograph on the governance of software that acts on its own. The authors set out practical requirements for identity, bounded authority and reconstructable logs, compare them with existing liability and data-protection regimes, and offer implementation guidance for deployers.
A practical and rigorous guide to measuring what agents actually do. The book develops a measurement framework for tool-using language agents, covers reliability, cost and safety metrics, and shows how to design benchmarks, report variance and avoid the most common evaluation mistakes. Worked examples and code accompany every chapter.
Lecture notes from a graduate course on making transformer inference fast and small: attention variants, caching, speculative decoding, quantisation, batching and scheduling. Includes problem sets and a reading list.
Priya Venkataraman, Daniel Okafor
An introductory textbook on adapting large pretrained models cheaply. Starting from the linear algebra of low-rank updates, it covers adapters, prompt tuning, quantisation-aware training and deployment, with exercises and solutions for each chapter.
Doctoral thesis on estimating and communicating uncertainty for text generation. It develops calibration methods for retrieval-augmented systems, studies how users interpret expressed confidence, and proposes evaluation protocols for uncertainty in open-ended outputs.
Fatima Zahra El Idrissi, Ravi Menon, Ingrid Novak
A step-by-step handbook for sharing datasets, code and models so that others can find, cite and reuse them. It covers licences, documentation, identifiers, repositories, privacy, and long-term preservation, with checklists that can be adopted by labs and venues.
