AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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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.
This work developed a scoring-approach for AI-agents to autonomously assess AlphaGenome prediction confidence and accurately differentiate between AlphaGenome’s robust sequence-level recognition across species and its current limitations when interpreting un-fine-mapped regulatory variants.
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