AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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EulerESG combines (i) dual-channel retrieval and LLM-driven disclosure analysis over ESG reports, and (ii) an interactive dashboard and chatbot for exploration, benchmarking, and explanation.
Constraint-Driven Context Engineering (CDCE), a design approach for engineering domain interfaces for AI systems that identifies and characterises constraints, determines the required context assets, and designs representations through which these assets are made available to AI systems, is proposed.
A taxonomy focused on the architectures of foundation-model-based agents is introduced, addressing critical aspects such as functional capabilities and non-functional qualities and unifying and detailing these classifications to improve the design of foundation-model-based agents.
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