Raspberry Pi

Source Notes

2026-04-14: # Tailscale Part 1 - Personal cloud server --- --- https://www.youtube.com/watch?v=zngSuqCM4d8 This video from Alex Kretzschmar (Lead Developer Advocate at Tailscale) introduces the concept of self-hosting and sets up the foundational hardware and software for a personal, p (Tailscale Part 1 - Personal cloud server)
2026-04-22: # Google Gemma 4: Efficient 2.3B Parameter Multimodal Edge AI --- --- https://www.youtube.com/watch?v=Zx2DuejRhU Overview of Google’s Gemma 4 edge-ai models (E2B, E4B) for deployment on hardware-constrained environments --- 2026 04 22 Google Gemma 4 Efficient 2.3B Parameter Multimodal Edge AI

2026-04-14: # Gary Explains Clawdbot on Raspberry Pi --- --- https://www.youtube.com/watch?v=qePhufA1hSE Here is a Markdown summary of the video transcript featuring OpenClaw (formerly ClawdBot/ (Gary Explains Clawdbot on Raspberry Pi)
2026-04-08: Llama.cpp: Local LLM Inference for Accessible, Private AI Clip title: What Is Llama.cpp? The LLM Inference Engine for Local AI Author / channel: IBM Technology URL: https://www.youtube.com/watch?v=P8m5eHAyrFM Summary The video introduces LLama C++, an open-sour (Llama.cpp: Local LLM Inference for Accessible, Private AI)
2026-04-10: Llama.cpp: Local LLM Inference for Accessible, Private AI Clip title: What Is Llama.cpp? The LLM Inference Engine for Local AI Author / channel: IBM Technology *URL: (Llamacpp Local LLM Inference for Accessible Private AI)
2026-04-22: # Google Gemma 4: Efficient 2.3B Parameter Multimodal Edge AI Generated: 2026-04-22 · API: Gemini 2.5 Flash · Modes: Summary --- Google Gemma 4: Efficient 2.3B Parameter Multimodal Edge AI Clip title: The 2.3B AI Model that “Thinks” like a 70B (Gemma 4) **Author / channel: (Google Gemma 4: Efficient 2.3B Parameter Multimodal Edge AI)