AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Modern LLMs and AI agents increasingly support data engineering workflows that integrate evidence from unstructured sources. Such pipelines typically do data retrieval, integration, and ranking before proceeding to more complex agentic reasoning or actions, e.g., for scientific discovery. The core retrieval problem in...
This work introduces Gremlin, a system for generating adversarial benchmarks of queries with high headroom, and applies Bayesian optimization to search the joint space of queries and witness plans, seeking query-plan pairs that maximize headroom.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.