Coding mastery - série de 1 livre (6 résultats)

Langue : anglais
Edité par Amazon Digital Services LLC - Kdp Jul 2026, 2026
Série : Livre 1 sur 1 - Coding Mastery
- Couverture souple
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 24,70
EUR 35,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponibles
Taschenbuch. Etat : Neu. Neuware - For sixty years, software engineering ran on one assumption: same input, same output, every time. Large language models broke that promise, and most teams are still pretending they didn't.Rebuilding the SDLC for Probabilistic AI is a practical guide for senior engineers, architects, and team leads who need to build reliable software on top of fundamentally unreliable components. Author Sujal Choudhari, who moved from ultra low latency C++ trading systems into AI engineering, walks through why manual vibe checks and eyeballing outputs do not scale, and what to build instead.Inside, you will learn how to: - Design architectural guardrails that enforce structure at the token level- Build context aware data pipelines that ground model outputs in fact- Replace exact match assertions with statistical evaluation pipelines using bootstrap resampling- Scale QA using LLM as a judge techniques, and calibrate those judges properly- Monitor for silent semantic drift in production before your users notice- Structure engineering teams for AI native developmentThis is not management fluff or AI hype. It is a concrete, opinionated engineering framework for anyone tasked with shipping AI powered systems that actually hold up in production.…

- Couverture souple
- impression à la demande
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 14,72
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 1 disponible
Paperback. Etat : new. Paperback. For sixty years, software engineering ran on one assumption: same input, same output, every time. Large language models broke that promise, and most teams are still pretending they didn't.Rebuilding the SDLC for Probabilistic AI is a practical guide for senior engineers, architects, and team leads who need to build reliable software on top of fundamentally unreliable components. Author Sujal Choudhari, who moved from ultra low latency C++ trading systems into AI engineering, walks through why manual vibe checks and eyeballing outputs do not scale, and what to build instead.Inside, you will learn how to: Design architectural guardrails that enforce structure at the token levelBuild context aware data pipelines that ground model outputs in factReplace exact match assertions with statistical evaluation pipelines using bootstrap resamplingScale QA using LLM as a judge techniques, and calibrate those judges properlyMonitor for silent semantic drift in production before your users noticeStructure engineering teams for AI native developmentThis is not management fluff or AI hype. It is a concrete, opinionated engineering framework for anyone tasked with shipping AI powered systems that actually hold up in production. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Langue : anglais
Edité par Amazon Digital Services LLC - Kdp, 2026
Série : Livre 1 sur 1 - Coding Mastery
- Couverture souple
- impression à la demande
Vendeur : PBShop.store US, Wood Dale, IL, Etats-UnisPBShop.store US
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 14,73
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Couverture souple
- impression à la demande
Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 13,85
EUR 2,69 expéditionExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. Print on Demand.

Langue : anglais
Edité par Amazon Digital Services LLC - Kdp, 2026
Série : Livre 1 sur 1 - Coding Mastery
- Couverture souple
- impression à la demande
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 13,52
EUR 3,95 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Couverture souple
- impression à la demande
Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 17,29
EUR 44,40 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible
Paperback. Etat : new. Paperback. For sixty years, software engineering ran on one assumption: same input, same output, every time. Large language models broke that promise, and most teams are still pretending they didn't.Rebuilding the SDLC for Probabilistic AI is a practical guide for senior engineers, architects, and team leads who need to build reliable software on top of fundamentally unreliable components. Author Sujal Choudhari, who moved from ultra low latency C++ trading systems into AI engineering, walks through why manual vibe checks and eyeballing outputs do not scale, and what to build instead.Inside, you will learn how to: Design architectural guardrails that enforce structure at the token levelBuild context aware data pipelines that ground model outputs in factReplace exact match assertions with statistical evaluation pipelines using bootstrap resamplingScale QA using LLM as a judge techniques, and calibrate those judges properlyMonitor for silent semantic drift in production before your users noticeStructure engineering teams for AI native developmentThis is not management fluff or AI hype. It is a concrete, opinionated engineering framework for anyone tasked with shipping AI powered systems that actually hold up in production. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…