Tracked shipping to South Africa with premium packaging for just R199 

Ship to
South Africa
0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

Select your country

Americas

Europe

Rest of the world

portada LLM Observability in Production. Monitoring, Tracing, and Evaluating AI Systems
Type
Physical Book
Year
2026
Language
English
Pages
90
Format
Paperback
Dimensions
22.9x15.2x0.4 cm
ISBN13
9798197071774

LLM Observability in Production. Monitoring, Tracing, and Evaluating AI Systems

Chatvariety Team (Author) · Independently published · Paperback

LLM Observability in Production. Monitoring, Tracing, and Evaluating AI Systems - ChatVariety Team

New Book Imported to South Africa
Delivery: 22 Sep - 30 Sep Shipping: 5 to 6 business days.
R 240
R 240

Synopsis "LLM Observability in Production. Monitoring, Tracing, and Evaluating AI Systems"

Master LLM Observability: Monitor, Trace, and Evaluate Your AI Systems in Production

As large language models move from research prototypes to business-critical production systems, the ability to observe, understand, and continuously improve their behavior has become a core engineering competency. This comprehensive guide delivers everything you need to build world-class observability for LLM systems-from foundational instrumentation to advanced evaluation automation.

Instrument LLM pipelines with OpenTelemetry and semantic conventions for vendor-neutral tracingDeploy Langfuse for full-stack observability including prompt version management and A/B testingImplement RAGAS and DeepEval for automated faithfulness, relevance, and hallucination evaluationMonitor multi-agent and agentic workflows with trajectory quality assessmentUse Arize Phoenix for embedding drift detection and local debuggingBuild evaluation datasets, human feedback loops, and fine-tuning data pipelinesDesign production infrastructure for scalability, security, and compliance

Whether you are an ML engineer building your first production LLM system or a senior architect designing observability infrastructure for a large AI platform, this book provides the practical frameworks, code patterns, and organizational practices that separate high-performing AI teams from those flying blind. Written for working engineers in the AI and software engineering field.

Customers reviews

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews