AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 4 papers
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.
Results suggest that corpus-scale statistical reflection is a viable alternative to iterative search for prompt optimization, and given only a static corpus of agent trajectories, an off-the-shelf coding agent can directly synthesize an optimized prompt, requiring neither environment access nor validation data.
This work shows that reasoning traces are not a prerequisite: skills distilled from non-reasoning trajectories alone remain competitive with skills distilled from paired reasoning/non-reasoning corpora, with domain-dependent differences between the two sources.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.