Capable by default. Reliable by design.
A pre-trained model has read most of the internet—and can be trusted with almost none of it. Post-training is the work that changes that: where you take a raw, general model and shape it into something that behaves, follows instructions, refuses what it shouldn’t do, and handles the specific job you need. It’s the human hand on the machine, and the part almost no one explains.
Chris von Csefalvay has spent his career building production ML systems in industry, from clinical language to legal text. In The Craft of Post-Training, he shows you the decisions behind every technique: when to fine-tune and when not to, why a model quietly gets worse, and which method fits the constraint you’re actually under. The math is here, because knowing why a technique works is what lets you debug it when it breaks.
You’ll know how to:
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Chris von Csefalvay is a Principal at HCLTech’s AI Practice, leading post-training research and clinical intelligence. He has held senior data science leadership roles across major enterprises and designed language models for applications from pharmacovigilance to social dynamics. He holds degrees from Oxford and Cardiff, and is a Fellow of the Royal Society for Public Health and a Senior Member of IEEE.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. EB-9781718505209
Anzahl: 15 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 416 pages. 9.25x7.01x0.59 inches. In Stock. Artikel-Nr. __1718505205
Anzahl: 2 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 416 pages. 9.25x7.01x0.59 inches. In Stock. Artikel-Nr. xi1718505205
Anzahl: 2 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 416 pages. 9.25x7.01x0.59 inches. In Stock. Artikel-Nr. xr1718505205
Anzahl: 2 verfügbar
Anbieter: Speedyhen, Hertfordshire, Vereinigtes Königreich
Zustand: NEW. Artikel-Nr. NW9781718505209
Anzahl: Mehr als 20 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Chris von Csefalvay is a Principal at HCLTech&rsquos AI Practice, leading post-training research and clinical intelligence. He has held senior data science leadership roles across major enterprises and designed language models for applications from . Artikel-Nr. 3416134496
Anzahl: Mehr als 20 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. The Craft of Post-Training | A Practical Guide for AI Engineers and Developers | Chris Von Csefalvay | Taschenbuch | Englisch | 2026 | No Starch Press | EAN 9781718505209 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Artikel-Nr. 136075694
Anzahl: 2 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Capable by default. Reliable by design.A pre-trained model has read most of the internetand can be trusted with almost none of it. Post-training is the work that changes that: where you take a raw, general model and shape it into something that behaves, follows instructions, refuses what it shouldn't do, and handles the specific job you need. It's the human hand on the machine, and the part almost no one explains.Chris von Csefalvay has spent his career building production ML systems in industry, from clinical language to legal text. In The Craft of Post-Training, he shows you the decisions behind every technique: when to fine-tune and when not to, why a model quietly gets worse, and which method fits the constraint you're actually under. The math is here, because knowing why a technique works is what lets you debug it when it breaks.You'll know how to:- Choose among the main post-training methods, from SFT and RLHF to DPO, KTO, and GRPO, well enough to fix failures instead of guessing- Adapt a model to your domain without catastrophic forgettingthe tendency of a network to abruptly overwrite what it already knew when you train it on something new- Run larger models with the memory you have by using new quantization- Train agentic systems to act reliably under adversarial pressure- Measure what matters in your deployment, beyond standard benchmarksWhen you've used LLMs long enough, you start to wonder what was done to make them behave. The secret is in the post-training that shaped them. The Craft of Post-Training shows you how that's done. Artikel-Nr. 9781718505209
Anzahl: 2 verfügbar