AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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LibraryDesignBench is introduced, a two-phase benchmark in which an agent implements a full-featured library from a specification that defines required capabilities and potential use cases without prescribing the design.
An LLM agent framework, JAZ, is built to explore the extent to which a minimal harness that is little more than the agent loop itself can accomplish tasks these specialized systems are built for.
Low-friction, expressive membrane prevents harness failures from becoming model failures and pushes measurement toward the model's true maximal underlying capability, on Factorio, where refinement allows for continuous technology progression and dedicated subagents enable parallelized work.
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