Specific Models
Specific Models Sections
- Claude (6)
- Key Concepts: Project Memory CLAUDE.md Agentic Workflow Plan-First Development Quality Gates
A complete operator's guide for Claude Code, covering project memory setup, permission management, and multi-agent orchestration patterns.
- Key Concepts: Claude Code CLI Obsidian Terminal Plugin Agent Skills CLAUDE.md Context
Guide on integrating Anthropic's Claude Code CLI into Obsidian using the Terminal plugin and Agent Skills for autonomous vault management.
- Key Concepts: Desktop Agent VM Sandboxing MCP Connectors Microsoft Partnership
Claude Cowork brings agentic AI to the desktop with full file access and MCP integration. Learn how it automates workflows while maintaining security via VM sandboxing.
- Key Concepts: Fleet Commander Model Agent Orchestration Human Correction Tax Verification Loops Continuous Agent Learning Claude Code
Discover the game-changing workflow of Claude Code's creator. It's not about coding faster; it's about orchestrating a fleet of AI agents to do the work for you.
- Key Concepts: Oh My Claude Code (OMC) Agent Swarm Orchestration Claude Code Autopilot Mode Smart Model Routing Specialized Agents Developer Productivity
A guide to 'Oh My Claude Code' (OMC), a plugin that transforms the Claude Code terminal into a multi-agent orchestration system with specialized agents and automated workflows.
- Key Concepts: Claude Connector WordPress.com Model Context Protocol (MCP) OAuth 2.1 AI Integration Site Analytics
Guide to the official WordPress.com connector for Claude, enabling secure, read-only access to site data via the Model Context Protocol (MCP) and OAuth 2.1.
- Key Concepts: SSD Offloading KV Cache Model Inference VRAM Optimization GPUDirect Storage Throughput vs. Accessibility
Discover how oLLM's innovative SSD offloading technique allows you to run massive language models on consumer-grade hardware. A technical guide for developers and researchers.
- Key Concepts: Embedding Model Generative Model Vector Embeddings Semantic Search Retrieval-Augmented Generation (RAG) Cosine Similarity
Understand the core technical differences between a specialized embedding model like Google's EmbeddingGemma and a generative AI like ChatGPT. This guide covers architecture, use cases, and RAG implementation.