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Beyond LLMs: The Next Frontier of AI. Learn how to design reliable AI systems with memory, agents, planning, control, and evaluation Sahir Maharaj

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Beyond LLMs: The Next Frontier of AI. Learn how to design reliable AI systems with memory, agents, planning, control, and evaluation Sahir Maharaj - okladka książki

Beyond LLMs: The Next Frontier of AI. Learn how to design reliable AI systems with memory, agents, planning, control, and evaluation Sahir Maharaj - okladka książki

Beyond LLMs: The Next Frontier of AI. Learn how to design reliable AI systems with memory, agents, planning, control, and evaluation Sahir Maharaj - audiobook MP3

Beyond LLMs: The Next Frontier of AI. Learn how to design reliable AI systems with memory, agents, planning, control, and evaluation Sahir Maharaj - audiobook CD

Autor:
Sahir Maharaj
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Bądź pierwszym, który oceni tę książkę
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586
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Large language models (LLMs) make it easy to build impressive AI prototypes, but production systems demand more than prompts and model calls. Reliable LLM applications need memory, retrieval, structured reasoning, planning, control, evaluation, observability, and safe adaptation designed into the architecture.

Written by Sahir Maharaj, a Microsoft MVP in Data Science, Data Engineering, and Power BI, a Microsoft Super User, and a Kaggle Grandmaster, Beyond LLMs shows you how to engineer production-ready AI systems in Python. You will identify where LLM-centric designs fail, then build RAG, memory, bounded AI agents, planning and decision loops, multi-agent systems, and world models that represent state and support simulate-before-act decisions.

Using a recurring SupportOps AI project, you will measure cost and latency, create AI evals and regression tests, monitor drift, trace agent behavior, and apply safer rollout and rollback strategies. You will also combine probabilistic models with schemas, validators, guardrails, and neuro-symbolic constraints to improve reliability, security, and explainability. By the end, you will be able to move beyond prompt-driven LLM demos and design large language model systems that are easier to test, observe, secure, control, scale, and improve in production as models and requirements evolve.

O autorze książki

Sahir Maharaj is an award-winning Lead Data Scientist and AI Engineer who designs and deploys end-to-end AI solutions that support strategic decision-making at scale.
As South Africa's first Kaggle Grandmaster and one of the world's top-ranked data scientists, he combines deep technical expertise with a strong focus on practical business impact.
Sahir is a Microsoft MVP, a Top 1% Credly certification holder, and a technical Subject Matter Expert, whose work is trusted by senior leaders at some of the world's most prominent brands like BMW, Audi, and EY.
He has been featured internationally, including in The Indian Express and twice on New York's Times Square billboards, and has mentored 900+ professionals on Topmate.

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