SKU/Artículo: AMZ-B0FX1BQMQ9

Architecting Hybrid Intelligence: The Complete Guide to SLM-LLM Cognitive Systems: Design, Route, Verify, and Deploy Scalable Multi-Model AI with Real-World Code Implementations

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Fuera de stock

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0.36 kg

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Amazon

Sobre este producto

Cognitive Routing Engines — how to design model orchestrators that decide who thinks next, balancing cost, speed, and accuracy dynamically.
SLM Pre-Processors and LLM Reasoners — the exact code that allows lightweight models to filter, summarise, and prepare context before invoking heavy reasoning.
Teacher–Student Distillation Pipelines — real, runnable examples where LLMs train SLMs to get smarter with every interaction.
Verification Frameworks and Guardrails — build systems that think safely, detecting hallucinations and enforcing schema integrity automatically.
Adaptive Feedback Loops and Telemetry Dashboards — monitor cognitive health in real time with token-budget tracking, latency metrics, and self-optimising routers.
Multimodal Hybrids — extend your system to handle vision, speech, and text together in a unified reasoning flow.

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Architecting Hybrid Intelligence: The Complete Guide to SLM-LLM Cognitive Systems: Design, Route, Verify, and Deploy Scalable Multi-Model AI with Real-World Code Implementations

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