AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Large language model agents have shown promise in bioinformatics, but most existing systems focus primarily on producing final answers, treating planning, tool use, and code execution as transient interactions. This design is poorly suited to long-horizon bioinformatics tasks, where conclusions must remain connected to...
It is argued that a lifelong AI partner for materials science can be designed around persistent memory rather than around a particular agent implementation, and a self-evolving memory framework is introduced that stores scientific experience as inspectable facts and executable skills so that observations, failure bound...
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