The Workstation Blog
AI
Posts tagged AI.
MCP Servers: Bridging AI Models with Enterprise Systems
Discover how Model Context Protocol (MCP) Servers are revolutionizing AI integration, enabling seamless communication between AI models and enterprise systems.
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Large Language Models Explained: How LLMs Work and How to Run Your Own on Kubernetes
What are Large Language Models and how do they work? A clear, non-technical explainer for managers and engineers — tokens, embeddings, transformers, training and inference — plus production Kubernetes YAML to deploy your own LLM with Ollama and vLLM.
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KubePilot: CoPilot, Pilot & AutoPilot for Faster Kubernetes Incidents
KubePilot helps SRE, DevOps, and platform teams move from noisy cluster signals to a safe fix — CoPilot, Pilot, and AutoPilot. Open source at kubepilot.org.
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Kubeflow + Argo CD: GitOps MLOps on Kubernetes
Pair Kubeflow and Argo CD for MLOps on Kubernetes: train and register models in Kubeflow, promote InferenceServices with GitOps, roll back with git revert.
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Kimi K3 & Open Weights: Frontier Agents Without Locked-In APIs
Kimi K3 pushes open-weight models into frontier agent territory. What changed for developers, vLLM serving, MCP, and Workstation production advice.
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Integrating AI into CRM Systems: Transform Customer Relationships
Discover how integrating AI into CRM systems transforms customer relationships through predictive lead scoring, sentiment analysis, churn prediction, and intelligent automation.
WorkstationRead Implementing AI Workflow Automation: From RPA to Intelligent Process Orchestration
A practical guide to implementing AI workflow automation from RPA to intelligent process orchestration. Covers process mining, integration patterns, tools, testing, and scaling strategies.
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How AI Agents Work: A Complete Guide to Autonomous AI Systems
A comprehensive guide to how AI agents work, covering architectures, reasoning loops, memory systems, and real-world applications of autonomous AI.
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