Patterns for Building AI Agents
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The gap between prototype and production is where most AI teams stumble. Written by the co-creator of a popular agent framework, Patterns for Building AI Agents captures practical strategies emerging in the year of agents:Agent design patterns: Evolving architectures, creating dynamic agents, and building human-in-the-loop workflowsContext engineering: Parallelization, context compression, and avoiding failure modesEval workflows: Creating eval suites, cross-referencing failure modes with metrics, and leveraging domain expertsSecurity fundamentals: Preventing prompt injection, sandboxing code execution, and implementing agent access control
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The gap between prototype and production is where most AI teams stumble. Written by the co-creator of a popular agent framework, Patterns for Building AI Agents captures practical strategies emerging in the year of agents:Agent design patterns: Evolving architectures, creating dynamic agents, and building human-in-the-loop workflowsContext engineering: Parallelization, context compression, and avoiding failure modesEval workflows: Creating eval suites, cross-referencing failure modes with metrics, and leveraging domain expertsSecurity fundamentals: Preventing prompt injection, sandboxing code execution, and implementing agent access control
Beschrijving
(2)
Bol
The gap between prototype and production is where most AI teams stumble. Written by the co-creator of a popular agent framework, Patterns for Building AI Agents captures practical strategies emerging in the year of agents:Agent design patterns: Evolving architectures, creating dynamic agents, and building human-in-the-loop workflowsContext engineering: Parallelization, context compression, and avoiding failure modesEval workflows: Creating eval suites, cross-referencing failure modes with metrics, and leveraging domain expertsSecurity fundamentals: Preventing prompt injection, sandboxing code execution, and implementing agent access control
AmazonPagina's: 92, Paperback, Sam Bhagwat
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