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LARGE LANGUAGE MODELS THAT WORK: A Practical Python Guide to Transformers, Embeddings, Semantic Search, RAG, Fine-Tuning, AI Agents, Evaluation, and Production-Ready AI Systems - Couverture souple

Everly, Liam

 
9798189306471: LARGE LANGUAGE MODELS THAT WORK: A Practical Python Guide to Transformers, Embeddings, Semantic Search, RAG, Fine-Tuning, AI Agents, Evaluation, and Production-Ready AI Systems
Couverture souple
ISBN 13 : 9798189306471
Editeur : Independently published, 2026

Synopsis

Build language-model systems that work after the demo.


Large language models can generate impressive text in minutes. Turning that capability into a reliable product is a different problem. Retrieval can miss the decisive source. A prompt can break on the next edge case. An agent can call the wrong tool. A model upgrade can improve a benchmark while making your real workflow slower, costlier, or less accurate.


Large Language Models That Work is a practical, production-first guide to designing AI applications that are bounded, measurable, and maintainable. Using clear mental models, original diagrams, and focused Python examples, Liam Everly shows how transformers, embeddings, semantic search, retrieval-augmented generation, fine-tuning, tools, and agents fit into one dependable system.


Inside, you will learn how to:


  • Understand tokens, attention, decoding, embeddings, and context without unnecessary mystique

  • Build semantic search with lexical retrieval, dense vectors, metadata filters, fusion, and reranking

  • Create RAG pipelines that handle missing evidence, conflicting sources, citations, permissions, and corpus updates

  • Use structured outputs for extraction, classification, and decision-focused summarization

  • Choose between prompting, retrieval, tools, workflow redesign, LoRA, and QLoRA

  • Evaluate correctness, grounding, calibration, latency, cost, safety, and slice performance before release

  • Design tool-using workflows and agents with schemas, approvals, budgets, idempotency, and audit trails

  • Operate production systems with tracing, canary releases, rollback, privacy controls, and incident response


Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2026
Langue
anglais
ISBN 13 
9798189306471
Reliure
Broché
Nombre de pages
195
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
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