Private AI with Spark

Lingua: inglese

Editore: Gitforgits Feb 2026, 2026

9349174162 / 9789349174160

Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

Venditore con 5 stelle

Venditore AbeBooks dal 23 gennaio 2017

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Spedito da Germania a U.S.A.

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Descrizione dell’articolo da parte del venditore

This item is printed on demand - Print on Demand Titel. Neuware -For those who want to build controlled, reproducible AI systems entirely within your own infrastructure, this book is the most practical and implementation-focused trainer. Instead of relying on external APIs or cloud-hosted intelligence services, this book clearly demonstrates how Apache Spark can orchestrate data preparation, model training, batch inference, reporting, and LLM acceleration in a disciplined and transparent way.As the book opens, it swiftly defines private AI, making it clear that external AI calls are not allowed, full ownership of datasets and model assets is imperative, and repeatable runs with traceable outputs are essential. I will use a realistic sample to show you how to build an end-to-end workflow that ingests raw data, normalizes it into a stable schema, trains a baseline classifier, extracts keywords, generates summaries, and produces structured reports. There's no doubt that each step is implemented with clarity and attention to maintainability. You can be sure that logging, manifests, and monitoring are embedded from the start. We implement classic machine learning techniques, vLLM, performance measurement, batch processing patterns, quarantine handling, and structured metrics to make private AI more usable and compete with cloud-based AI.Beyond experimentation, the book transitions seamlessly into packaging and routine execution. It will teach you to bundle multiple stages into a single command workflow, schedule daily or weekly runs, generate compact run reports, and adapt the architecture to new datasets without redesigning the system. It does not promise instant transformation or one-click AI solutions. Instead, it provides a structured path to building a sustainable private AI backbone using Spark as the orchestration layer.Key LearningsNo external AI calls and full control over data, models, and repeatable runs.Stable canonical schema with downstream ML and reusable reporting.Infuse Classic ML with Spark without introducing LLM complexity.Carry out extractive summaries without hallucination risk.Complete traceability through manifests, prompt versions, and run logs.Implement data and batch flow, along with fast inference using vLLM.Extract inspectable data and surface out the hidden errors using quarantine tables.Measure and store performance for every run with stakeholder reporting.Design single-command pipeline with clear configs to build repeatable AI.Table of ContentUp and Running with Private AIData Workflows using Spark DataFramesPowerful NLP without LLMBatch Inference and Practical OutputsSmart SummariesBoosting with vLLM IntegrationPackaging Private AILibri GmbH, Europaallee 1, 36244 Bad Hersfeld 164 pp. Englisch.…

Codice articolo 9789349174160

Titolo
Private AI with Spark
Autore
Ryein Twardo
Editore
Gitforgits Feb 2026
Anno di pubblicazione
2026
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
9349174162
ISBN 13
9789349174160
Peso dell'articolo
320 grammi
Dimensioni
235x191x9 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 23 gennaio 2017

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
Primo articoloEUR 60,00EUR 75,00
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