46:01
Compression at the Edge — NVIDIA, Unsloth, HuggingFace, Ollama
A conference panel titled "Compression at the Edge" brings together engineers from four of the most active organizations in local AI:...
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28:10
New Deepseek, Seedance 2.5, Minimax H3, Gemini Robotics, AMD models: AI NEWS
AI Search delivers a dense weekly roundup covering an unusually active period across multiple AI verticals. The biggest model news: B...
25:28
AMD Ryzen AI Halo – 100% Local AI
Sam Witteveen reviews the AMD Ryzen AI Halo, a new workstation built around the Ryzen AI Max Plus 395 chip with 128 GB of unified LPD...
35:15
New robot waifus, GLM 5.2 craze, AI spas, new world models, new science agents: AI NEWS
AI Search's weekly roundup covers a dense slate of releases spanning open-source models, video generation, robotics, and AI agents. T...
14:01
DiffusionGemma GGUF: Run Google’s Fastest Model Locally on Any GPU
Fahd Mirza demonstrates how to run DiffusionGemma — Google's new diffusion-based text generation model — locally using a quantized GG...
16:47
Google QAT vs Unsloth QAT + MTP – Which Gemma 4 12B Is Actually Better?
This video pits two quantized versions of Google's Gemma 4 12B against each other in a practical, locally-run benchmark: Google's own...
15:50
Road to 5 Million Tokens: Breaking Barriers in Long Context Training — Max Ryabinin, Together AI
Max Ryabinin, VP of Research and Development at Together AI, presents the company's research project on extending transformer trainin...
14:35
Google QAT vs Unsloth Q4_0 – Which Gemma 4 12B Quantization Is Better?
Fahd Mirza runs a controlled comparison between two 4-bit quantized versions of Google's Gemma 4 12B model: Google's own QAT (quantiz...
06:01
Run Google’s newest 12B AI on a phone? Yes, it’s possible!
The Alphastack channel walks through a custom cross-platform app that runs Google's Gemma 4 12B multimodal model entirely on-device —...
32:57
Unsloth Studio is insane… fine-tune any AI model locally
Unsloth Studio is a free, open-source desktop application that brings LLM fine-tuning to consumer hardware — and this video by David...