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.
This book will guide you from the basics of neural networks to the state-of-the-art large language models in use today, and covers the mathematical foundations, the structure, and the training algorithms of neural networks and dives into the essence of deep learning
This paper presents a search-based testing framework for LLM-based applications that incorporates failure diversity as an explicit optimization objective and maintains an archive of generated tests and rewards distance from that archive, while a repopulation operator periodically replaces non-failing tests in the popul...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.