Heavy Networking HN758: How Selector Built an AI Language Model for Networking (Sponsored)
Nov 15, 2024
John Capobianco, an expert in network automation and AI at Selector.AI, dives into the transformative role of AI in network operations. He discusses the development of bespoke AI models that enhance data analysis and decision-making. The conversation reveals how fine-tuned large language models can revolutionize network management with advanced features like customizable dashboards and autonomous root cause analysis. John also emphasizes the ease of integrating AI solutions for businesses without in-house expertise, making powerful network automation accessible to all.
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Model Foundation
- The LLM's base is a general language model (like LLaMA 3), providing English language understanding.
- This foundation is then augmented with network-specific data for domain expertise.
Fine-Tuning for Context
- LLMs learn networking concepts from internet data but lack specific network details.
- Fine-tuning with your data makes it like an 'open book' exam, providing context and reducing hallucinations.
Troubleshooting Anecdote
- Ethan Banks shares a story about a difficult troubleshooting scenario.
- The issue, maximum server connections, was simple but hard to identify among many possibilities.