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Posts tagged LLM.
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.
Balinder WaliaRead 
Meta Muse Glimmer brings always-on local agents to a single GPU via Ollama: 30B, Apache 2.0, 128K context, vision and tools — Workstation business guide.
Balinder WaliaRead 
Secure enterprise AI agents with MCP OAuth 2.1, VPN-isolated tools, and HashiCorp Vault leases that auto-rotate and expire — plus Claude, OpenAI, and Cursor recommendations.
Balinder WaliaRead 
Workstation rewrite of AWS What is Deep Learning: neural networks, generative AI, vision/speech/NLP/recommendations, and how teams ship DL in the cloud or on Kubernetes.
Balinder WaliaRead 
Kimi K3 pushes open-weight models into frontier agent territory. What changed for developers, vLLM serving, MCP, and Workstation production advice.
Balinder WaliaRead 
Workstation take on Claude Opus 5 on Amazon Bedrock: agentic coding, long-running agents, 1M context, ZDR by default, and how teams should adopt it.
Balinder WaliaRead 
Implement Amazon Bedrock, Bedrock AgentCore, SageMaker, and Amazon Q, then launch a first business agent in Microsoft Teams — with requirements, tooling, and time boxes.
Balinder WaliaRead 
Choose the right Claude model tier: Haiku for fast routing, Sonnet for daily work, Opus for complex agentic coding, and Fable 5 for long-horizon autonomy. Includes a token-budget router blueprint.
Balinder WaliaRead 
Claude Fable 5 is Anthropic's Mythos-class frontier model for long-horizon agents. Community reactions, YouTube reviews, when to use it, and how to save tokens.
Balinder WaliaRead 
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.
Balinder WaliaRead 
I unboxed a Mac Studio M4 Max with 128 GB unified memory and 40 GPU cores, installed Ollama, ran Llama 3.1 8B locally, and built a private RAG pipeline - all on one quiet, 6.48 W idle desk-side box.
Balinder WaliaRead 
