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Learn how artificial intelligence and large language models can revolutionize network engineering workflows in this 25-minute conference talk from NANOG. Discover practical use cases for automating configuration management, troubleshooting, and documentation across popular vendors like Cisco and Juniper. Explore real-world examples while gaining insights into both the powerful capabilities and current limitations of AI assistance in networking tasks. Network engineer Mike Starr from trackd.com demonstrates how leveraging these tools can help networking professionals optimize their time and focus on higher-value activities.
Syllabus
ChatGPT and Networking Engineering
Taught by
NANOG