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John Capobianco
Canada
เข้าร่วมเมื่อ 8 ก.ค. 2013
John Capobianco is a 25-year IT professional passionate about automation.
As the author of "Automate Your Network: Introducing the Modern Approach to Enterprise Network Management" and "Cisco pyATS: Network Test and Automation Solution," I aim to help network engineers embrace programmability and coding
My dedication to the field has been recognized with honors such as being a two-time Cisco Live Distinguished Speaker and being named among Cisco Canada's Top 25 Employees. With over a decade of experience in network automation and two years in artificial intelligence, I currently serve as a Product Marketing Evangelist at Selector AI. This channel is dedicated to sharing insights and tutorials on network automation and AI. Most videos include GitHub repos, providing you practical resources to enhance your learning experience.
Join our community by liking, subscribing, and sharing the content. Let's embark on this journey of innovation and automation together!
As the author of "Automate Your Network: Introducing the Modern Approach to Enterprise Network Management" and "Cisco pyATS: Network Test and Automation Solution," I aim to help network engineers embrace programmability and coding
My dedication to the field has been recognized with honors such as being a two-time Cisco Live Distinguished Speaker and being named among Cisco Canada's Top 25 Employees. With over a decade of experience in network automation and two years in artificial intelligence, I currently serve as a Product Marketing Evangelist at Selector AI. This channel is dedicated to sharing insights and tutorials on network automation and AI. Most videos include GitHub repos, providing you practical resources to enhance your learning experience.
Join our community by liking, subscribing, and sharing the content. Let's embark on this journey of innovation and automation together!
Testing brand new model capabilities with Kubernetes and Packet Captures
🌟 Packet KAI8: Multi-AI Consensus Chat with Packet Captures 🌟
Dive into the future of AI-powered analysis with Packet KAI8, a cutting-edge platform that leverages the power of 7 advanced AI models, each running as an Ollama pod in Kubernetes, for multi-AI consensus and packet capture insights.
📚 Models Featured:
Gemma2 (Google)
Llama3.1 (Meta)
Llama3.2 (Meta)
Phi4 (Microsoft)
Mistral (Mistral)
Deepseek-R1 (Chinese research)
Command-R (Cohere)
💻 Key Features:
Streamlit Frontend: A sleek and user-friendly interface for real-time interaction.
LangChain Integration: Harnessing conversational retrieval chains (RAG) for dynamic query generation.
Chroma Vector Search: Enhanced document retrieval with OpenAI embeddings.
Kubernetes Backend: Ensures seamless scaling and orchestration for all 7 AI models.
🔍 What You'll See in This Video:
How Packet KAI8 uses LangChain and RAG to analyze PCAP files.
Multi-AI consensus in action-see how 7 models collaborate to provide insights.
A walkthrough of the Kubernetes setup for Ollama pods.
How OpenAI embeddings enhance data processing and retrieval.
🚀 Perfect For:
Networking professionals looking to supercharge packet analysis.
AI enthusiasts exploring multi-model consensus applications.
Developers interested in Kubernetes-based AI deployments.
💡 Get inspired by this demonstration of AI collaboration for network troubleshooting and analysis. Watch now to see the future of packet capture intelligence!
🔗 Links and Resources:
Github: github.com/automateyournetwork/Packet_KAI8
Dive into the future of AI-powered analysis with Packet KAI8, a cutting-edge platform that leverages the power of 7 advanced AI models, each running as an Ollama pod in Kubernetes, for multi-AI consensus and packet capture insights.
📚 Models Featured:
Gemma2 (Google)
Llama3.1 (Meta)
Llama3.2 (Meta)
Phi4 (Microsoft)
Mistral (Mistral)
Deepseek-R1 (Chinese research)
Command-R (Cohere)
💻 Key Features:
Streamlit Frontend: A sleek and user-friendly interface for real-time interaction.
LangChain Integration: Harnessing conversational retrieval chains (RAG) for dynamic query generation.
Chroma Vector Search: Enhanced document retrieval with OpenAI embeddings.
Kubernetes Backend: Ensures seamless scaling and orchestration for all 7 AI models.
🔍 What You'll See in This Video:
How Packet KAI8 uses LangChain and RAG to analyze PCAP files.
Multi-AI consensus in action-see how 7 models collaborate to provide insights.
A walkthrough of the Kubernetes setup for Ollama pods.
How OpenAI embeddings enhance data processing and retrieval.
🚀 Perfect For:
Networking professionals looking to supercharge packet analysis.
AI enthusiasts exploring multi-model consensus applications.
Developers interested in Kubernetes-based AI deployments.
💡 Get inspired by this demonstration of AI collaboration for network troubleshooting and analysis. Watch now to see the future of packet capture intelligence!
🔗 Links and Resources:
Github: github.com/automateyournetwork/Packet_KAI8
มุมมอง: 211
วีดีโอ
Deploying a whole network topology from a prompt with AI Agents
มุมมอง 9647 ชั่วโมงที่ผ่านมา
🚀Effortless Network Automation with ReACT AI Agents and NetBox! 🚀 Discover the future of network automation! In this video, we demonstrate how to go from no configuration on 4 devices - 2 routers and 2 switches - to a fully deployed setup using just ONE natural language prompt. Watch as ReACT AI Agents, powered by a NetBox source of truth, seamlessly: ✅ Configure 10 interfaces with descriptions...
AI Agents configuring multiple links from a source of truth
มุมมอง 2037 ชั่วโมงที่ผ่านมา
Get ready to witness the future of networking! 🚀 In this groundbreaking video, we showcase a radical new approach to automation using AI Agents-no hardcoding, no deterministic scripts, just pure AI-powered reasoning and collaboration. By equipping our Large Language Models (LLMs) with tools and harnessing their advanced ReAct capabilities, we've created agents that think and act like never befo...
Automating Network Configurations with NetBox and AI Agents
มุมมอง 5779 ชั่วโมงที่ผ่านมา
In this video, we showcase how to integrate NetBox with AI-powered agents to automate network configuration and management tasks seamlessly. Learn how to fetch, create, and manage network data using NetBox APIs combined with advanced tools like pyATS and LangChain. What You’ll Learn: ✅ Setting up NetBox for API-driven automation ✅ Using AI agents to process configurations as multi-line Python s...
Infrastructure As Agents Multi device topology management
มุมมอง 99814 ชั่วโมงที่ผ่านมา
Infrastructure as Agents: 🚀 Multi-Device AI Agent: Automate Your Network with AI! | Cisco CML Integration Ready to supercharge your network automation? This video showcases the Multi-Device AI Agent, an AI-powered solution designed to manage and configure a full network topology using Cisco Modeling Labs (CML). 🔧 Features: AI-driven interaction with multiple routers and switches Seamless execu...
AI Agents: An Artificially Intelligent Network Engineer
มุมมอง 2.2K16 ชั่วโมงที่ผ่านมา
🚀 AI Agents: Not Just the Future-They’re the Present! 🚀 I’m beyond excited to share something incredible-a fully functional AI Agent that operates a Cisco IOS XE router through natural language commands. This isn’t just a concept. It’s real, it’s working, and it’s built with only 425 lines of Python! 🤯 🛠️ Key Highlights: ✅ No pyATS job files. No hardcoded scripts. ✅ Decorated pyATS functions as...
Free local AI Agents with Ollama
มุมมอง 71221 ชั่วโมงที่ผ่านมา
🚀 Local, Free, and Private AI Agents with Ollama Llama 3.1 Cohere Command-r7b! 🔐🤖 Tired of relying on paid AI services like ChatGPT 4o? Ready to take full control of your AI workflows with no subscription fees and 100% privacy? Introducing the NetBox AI Agent-a fully local, private AI assistant powered by: ✅ Ollama for seamless AI model hosting ✅ Llama 3.1 (Meta) for natural language processing...
Analyzing DHCP and BGP packet captures with multi AI with Kubernetes
มุมมอง 475วันที่ผ่านมา
🔍 Multi-AI Packet Analysis: Consensus Building with 6 Leading AI Models! 🚀 In this video, we showcase a powerful multi-AI setup featuring Gemma2 (Google), Llama3.1 (Meta), Mistral (Mistral AI), DeepSeekV3 (China), Phi4 (Microsoft), and Qwen (Alibaba) working together to analyze network packet captures. 📂 Demo Workflow: Upload PCAP Files - We analyze both a DHCP and a BGP packet capture. AI Anal...
Testing Consensus AI with New Models Llama 3 1 Phi4 DeepSeekV3
มุมมอง 32714 วันที่ผ่านมา
🚀 Testing Consensus AI with Top LLMs: Meta Llama 3.1, DeepSeekV3, Phi-4, and More! In this video, we take Consensus AI to the next level by adding and testing some of the latest large language models (LLMs): 🔹 Llama 3.1 from Meta 🔹 DeepSeekV3 from leading researchers in China 🔹 Phi-4 from Microsoft 🔹 Integrated with existing models like Gemma 2 (Google), Qwen (Alibaba), and Mistral (Mistral AI)...
Consensus AI Improving trust in AI with Kubernetes
มุมมอง 57221 วันที่ผ่านมา
Welcome to Part Two of our Infrastructure as Code series! 🚀 In Part One, we covered setting up the foundation: Windows 11 with WSL2, Ubuntu, Docker Desktop, Kubernetes with Minikube, and the essential components to get started. In this video, we take it a step further! 🌟 Learn how to: ✅ Use kubectl and YAML files to set up pods for multiple Ollama instances running various Large Language Models...
Consensus AI Windows WSL2 Docker Kubernetes Setup
มุมมอง 48728 วันที่ผ่านมา
In this video, we walk you through the complete system setup to enable Consensus AI with multi-SLM/LLM pods hosted via Ollama, all running locally on Windows using WSL2, Ubuntu, Docker Desktop, and Kubernetes (Minikube). Learn how to set up a streamlined environment with a Streamlit front end and NGINX reverse proxy, all for free! What You'll Learn: ✅ Install and configure Windows Subsystem for...
I called 1-800-CHATGPT
มุมมอง 1Kหลายเดือนก่อน
I called 1-800-CHATGPT and had a conversation, about myself, with artificial intelligence over my phone! This takes me back to 1984 phoning another persons computer over telephone wires into a BBS What an incredible time to be alive #ai #artificialintelligence #chatgpt #openai #phone #networkautomation #network #future
From RAG to TAG Talking to Packets with Table Augmented Generation
มุมมอง 741หลายเดือนก่อน
Description: Step into the next evolution of data-driven insights! In this video, we explore Table-Augmented Generation (TAG), a groundbreaking approach that transforms raw network packet data into conversational, AI-powered insights. Join us as we build a Streamlit web app that uses OpenAI GPT-4 to chat with your PCAP files. Whether you're an AI enthusiast, network engineer, or a beginner curi...
What Would You Ask Your NetBox? Questions from the community
มุมมอง 370หลายเดือนก่อน
I recently asked my BlueSky and X communities "What would you ask your NetBox?" and tried out the suggested prompts with great success! Feel free to clone the repo: github.com/automateyournetwork/netbox_react_agent You can use the public free always on NetBox Developer Sandbox to try this out: demo.netbox.dev/ Grab an API token and along with your chatGPT API key you can start chatting with Net...
ReAct AI Agent for NetBox
มุมมอง 619หลายเดือนก่อน
🚀 Streamline Your Network Management with the NetBox ReAct Agent! 🌐 Take your NetBox game to the next level with the NetBox ReAct Agent, an AI-powered tool that transforms how you interact with NetBox APIs. This application brings natural language processing to network automation, allowing you to perform CRUD operations effortlessly through an intuitive chat interface. 🔑 Key Features: Natural L...
Beginner's guide to Selector Packet Copilot
มุมมอง 3352 หลายเดือนก่อน
Beginner's guide to Selector Packet Copilot
Selector Packet Copilot - Security Implications and Use Cases
มุมมอง 2042 หลายเดือนก่อน
Selector Packet Copilot - Security Implications and Use Cases
Multi Agent AI for Network Automation
มุมมอง 2.7K3 หลายเดือนก่อน
Multi Agent AI for Network Automation
Full Agentic AI CRUD for Network Automation
มุมมอง 6683 หลายเดือนก่อน
Full Agentic AI CRUD for Network Automation
Agentic AI - Using ReAct Agents with REST APIs for Network Automation
มุมมอง 8734 หลายเดือนก่อน
Agentic AI - Using ReAct Agents with REST APIs for Network Automation
Talk to Your Router with Natural Language! AI Agents + pyATS + LangChain + ReAct
มุมมอง 1.8K4 หลายเดือนก่อน
Talk to Your Router with Natural Language! AI Agents pyATS LangChain ReAct
Screen Speak - A multimodal AI Assistant that transforms screenshots into AI analysis
มุมมอง 3725 หลายเดือนก่อน
Screen Speak - A multimodal AI Assistant that transforms screenshots into AI analysis
Reaction to Google Cloud Report The ROI of GenAI
มุมมอง 4655 หลายเดือนก่อน
Reaction to Google Cloud Report The ROI of GenAI
A free, local, automated, pyATS AI Agent
มุมมอง 7206 หลายเดือนก่อน
A free, local, automated, pyATS AI Agent
Easy, free, local, AI Agents with Ollama and Langchain
มุมมอง 1.7K6 หลายเดือนก่อน
Easy, free, local, AI Agents with Ollama and Langchain
Microsoft graphRAG Graphing Text and Chatting with it for free
มุมมอง 4.4K6 หลายเดือนก่อน
Microsoft graphRAG Graphing Text and Chatting with it for free
This is really prime content here, this is network engineering with agents in the making! It's not widely explored yet and you're at the forefront man! Wondering how we could integrate ansible playbooks in the mix.
It's weird, I just posted a question on reddit about this kinda stuff and here you pop up.
Cool presentation, I hope you build this channel up, got quite some potential man. Looking fwd to future content from you
Great work John! I love the possibilities and exploration of your work.
I think your last statement summed it up with this being "remarkable". I have a hard time convincing other network folks to even use netbox or check out ansible, despite being on the CCNA now. hopefully sharing this video drives the use case of automation. I loved how at the end you said "I wasn't even sure if it was going to work", same thing I've said after some complex network build outs!! All a bot has to do is be as good or better than a human! Junior Engineers are in trouble and the way its going maybe even Seniors!
Hi John - Thanks for posting such great AI videos. Is it possible for you to put these in an order so we students like me can learn these AI things & models in order.
I've been searching for a while week for this!! Thank you!
How beefy do the servers need to be hosting ollama and the AI bits?
@@wiz0rdsworld733 this is a very low end home PC with an old RTX 2060
Thanks for the video - That was very cool.
This is so cool! Thanks for sharing these videos John!!
Like how you say please to the machine :)
Great to see, John 🎉 /Stevie Chambers
Thanks John. How do you find working with LangChain? It throws up deprecation warnings quite often!
Thank's John, you are explaining it so that someone which just started on Ai/LLM/Agent's can understand it easily 👍 How or where can someone contact you?
Easily found on LinkedIn ! Thanks for the support!
this is awesome! keep it up!
This content is helpful, could you please do a tutorial for this feature?
Watch all the previous videos it's all broken down there !
My favourite part of this video was commiserating with someone who also has a needy dog 😂
Very cool! Thanks for sharing
John are you trying to put us all out of a job
Very cool...keep it coming
Next step will be to use that with routers as IOS and switches as for example NXOS, and try to a command which are different in syntax :)
Nice stuff! I still find it hard seeing agents being used effectively for configuration management. I think their real value lies in performing analysis/review type work in networking. It’s going to be tough to surpass Jinja2 templates combined with variables, Ansible playbooks, or Netmiko scripts for this type of work.
Nice video sir, it may the new revolution for network engineer
This is extra dope! 🤯
what about any agent that can help me in game development? like in unity for example? agent that can see my screen, voice and has memory
John, you don't stop surprising, great video :) hope everything is going well!
Hey Bro , have done several iterations over my take on ai networking, your use case is very nice, would love to chat and collaborate if possible. Would love to learn from a wise one.
How can you add speech to text so you don't have to type?
Very nice
Congrats on the new job.
Hi John.
Very cool! Really appreciate your videos.
Happy to see someone showing more interesting use cases
Very inspiring. Thanks for sharing! I love these walkthroughs videos! Keep it up!
Thanks for sharing this! I’ve been exploring AI in networking and see a lot of potential. Many network engineers still think it’s just "hype" with no real applications. Mention AI or ChatGPT in Reddit’s networking threads, and it often gets downvoted. I’m working on a Tier 1 NOC agent, and it’s been very effective. It handles tickets, runs commands, and updates tickets on its own. You can even create specific instructions, and it will follow them consistently. With an API integration to an NMS, it can analyze historical data, generate summaries, and even reply to customer emails in the future with more polish. It removes the need for manual triage! Even without RAG, it works well. Adding a simple RAG setup, like a Cisco command guide as a vector store, boosted its performance significantly. Huge potential here!
Working on something similar. Thank you for sharing🎉
This is great, well done and thanks for sharing. Will you be present in the Cisco Live this year ?
@@michaelmichel1871 non presenting but hopefully attending
This is great - one observation, a managed services provider(which accounts for a lot) might struggle to do this on a secure customer network?
I'm not sure why? The LLM is local and private and confidential - there are no cloud components here
@@johncapobianco2527 Quite common to have to RDP onto a customer's Windoze jump server (with restricted permissions) and then a Windoze management server desktop to use PuTTy on a customer network in UK. Hopefully that will change : )
amazing what the agent can do , can you at some point create a tutorial how we can do this . very fascinating !
super cool. thanks for sharing.
Hi
Can I use the same but with Windows
@@MustafaAhmed-jv4km this IS Windows - WSL2 plus Ubuntu
Nice series!. This is certainly a rabbit hole.
why is my comment being deleted?
?
@@johncapobianco2527 hey! not sure what is happening but I made a comment about this not being the real deepseekv3 model. The real one is 650B, the one you are pulling is just llama 3.2 under the hood. Just search "nezahatkorkmaz/deepseek-v3" in google and you will see a X thread about it. To run the real one locally you will need TONS of VRAM or RAM.
@@johncapobianco2527 youtube is auto-deleting my comment and I don't know what word is triggering it. Basically that is not the real DS3 model. It's running a different model under the hood. The real one is 650B.
@ very cool call out - yes this is not the DS3 that runs in their cloud
@ np...under the hood, it's actually llama3.2; I'm not sure why the user published it, perhaps to confuse people
@John, in the past I tried to make my own personal bot. What are the specs on your machine?
@@mattreya nothing special it’s an older gaming rig the GPU is RTX 2060
🤯🤯🤯🤯
Awesome video, been trying to do something similar but with malware analysis and this just inspired me to continue with that pursuit
windows? bye
WSL2 Ubuntu
Hi John! just been in a meeting were you talked and everything you are doing is very very promising, Ive got a question that I wanted to ask you if possible
That is impressive, thanks for sharing