Ultimate LLMOps with Langfuse by Nikhil Talreja (.ePUB)
File Size: 10 MB
Ultimate LLMOps with Langfuse: Instrument, Evaluate, and Operate Production-Grade LLM Applications with Langfuse by Nikhil Talreja
Requirements: .ePUB reader, 10 MB | True EPUB
Overview: Master Langfuse and Build LLM Systems That Perform in Production. Ultimate LLMOps with Langfuse gives you the observability, evaluation, and operational discipline to run LLM systems you can actually trust in production, replacing intuition-driven development with measurable, data-driven engineering practice. You begin with LLM monitoring fundamentals, including tracing, drift detection, and bias awareness, then move into Langfuse’s core capabilities, covering instrumentation, observability dashboards, prompt management, and structured evaluation. The book addresses automated scoring, human feedback workflows, cost and latency tracking, and production metrics, grounding every concept in concrete examples and real system architectures. The final section delivers end-to-end playbooks for agentic workflows, RAG pipelines, security guardrails, and LLM governance. By the end of the book, you will be able to instrument, evaluate, and operate production LLM applications with full visibility, debug faster, improve quality continuously, and ship AI features with confidence. This book is tailored for AI engineers, ML practitioners, backend developers, and platform engineers who build or operate LLM-powered applications in production. Basic Python experience and familiarity with REST APIs and JSON are assumed; however, no prior Langfuse experience is required.
Genre: Non-Fiction > Tech & Devices
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