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Deep Learning
Deployment
Distributed Training
GPU
Inference
Kubernetes
LLM
- LoRAX Playbook - Orchestrating Thousands of LoRA Adapters on Kubernetes
- Scaling Large Language Models - Practical Multi-GPU and Multi-Node Strategies for 2025
LoRA
Parallelism
agents
- Context Engineering in the Agentic‑AI Era — and How to Cook It
- Domain-driven design for AI agents: a beginner-friendly guide
ai-engineering
- Context Engineering in the Agentic‑AI Era — and How to Cook It
- Domain-driven design for AI agents: a beginner-friendly guide
architecture
best-practices
context-layer
domain-driven-design
genai
guardrails
guide
- Building a Custom FeatureStoreLite MCP Server Using uv
- Choosing the Right Open-Source LLM Variant & File Format
- Mastering Zsh Startup: ~/.zprofile vs ~/.zshrc 🚀
- Quick Guide: Managing Python on macOS with uv
- Quick-Guide on setting up a MacBook for AI Engineering
- Quick-guide on Local Stable-Diffusion Toolkits for macOS
- Quick-guide on Running LLMs Locally on macOS
- The Ultimate Guide to `pyproject.toml`
infrastructure
llm
- Choosing the Right Open-Source LLM Variant & File Format
- Quick-guide on Running LLMs Locally on macOS
llmops
macos
- Mastering Zsh Startup: ~/.zprofile vs ~/.zshrc 🚀
- Quick-Guide on setting up a MacBook for AI Engineering
- Quick-guide on Local Stable-Diffusion Toolkits for macOS
- Quick-guide on Running LLMs Locally on macOS
mcp
memory
mlops
python
- Building a Custom FeatureStoreLite MCP Server Using uv
- Quick Guide: Managing Python on macOS with uv
- The Ultimate Guide to `pyproject.toml`
rag
retrieval
tooling
- Mastering Zsh Startup: ~/.zprofile vs ~/.zshrc 🚀
- Quick Guide: Managing Python on macOS with uv
- Quick-Guide on setting up a MacBook for AI Engineering
tools
- Quick-guide on Local Stable-Diffusion Toolkits for macOS
- Quick-guide on Running LLMs Locally on macOS