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.
These results provide initial evidence that PFN-style synthetic pretraining transfers to graph-based relational foundation models.
It is suggested that curriculum design and synthetic data diversity may matter more for relational PFN pretraining than the specific relational generator or raw synthetic scale alone.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.