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Kirk Byers
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A podcast about AI and network operations. How network engineers and network operations can benefit and improve their productivity by using LLMs and associated tools.

Epizódy

  1. 19. 11.

    Amplification of your Abilities, AI and Networking with John Capobianco

    Summary In this podcast, Kirk Byers and John Capobianco discuss the  impact of AI on network automation and engineering. They explore the significance of ChatGPT, the challenges of inference, and the concept of Retrieval-Augmented Generation (RAG). John shares insights on using LangChain for building AI applications, and the role of AI agents. The conversation emphasizes the importance of adapting to AI technologies and the potential for enhancing productivity in network engineering. Takeaways ChatGPT marked a significant turning point in AI awareness.Retrieval-Augmented Generation (RAG) enhances AI capabilities.LangChain simplifies the integration of AI with network tools.AI agents can automate complex tasks in network management.Fine-tuning models can improve AI performance in specific domains.AI can significantly reduce the time needed for project development. Chapters 00:00 - Introduction to AI and Network Automation 01:42 - The Impact of ChatGPT 05:50 - Understanding Hallucinations and Inference 09:53 - Retrieval-Augmented Generation (RAG) Explained 14:42 - Building with LangChain 18:37 - Exploring Models and Local LLMs 22:55 - Exploring Fine-Tuning and RAG Techniques 25:34 - Integrating AI with Network Data 29:34 - The Rise of AI Agents 34:28 - Modernizing Code 39:53 - Future Directions for Network Engineers Reference MaterialsSelector https://www.selector.ai/John Capobianco YouTube Video on "Multi Agent AI for Network Automation" https://www.youtube.com/watch?v=8GwSIRGae10LangChain https://www.langchain.com/LlamaIndex https://www.llamaindex.ai/Streamlit https://streamlit.io/

    45 min

O relácii

A podcast about AI and network operations. How network engineers and network operations can benefit and improve their productivity by using LLMs and associated tools.

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