RidgeRun.ai
131 posts
@RidgeRunAI
Computer Vision and Analytics
Great work from @ridgerunai getting the Metis M.2 AI accelerator running on Raspberry Pi 5 🔥 They break down setup, deployment with Voyager SDK & real-world benchmarks. Great guide if you’re into embedded AI, or looking for someone to help with your AI project/build 👇 🔗 eu1.hubs.ly/H0lN_Py0 #EdgeAI #RaspberryPi #MetisAIPU @Raspberry_Pi
Calling all makers to join our #InteractiveSignage Contest 2025! Inviting you to explore how smart tech, #IoT, and #AI can transform signs into experiences, making spaces more efficient, comfortable, and engaging. Submit your project to win $3,000 + and get featured in the smart cities of tomorrow! seeedstudio.com/interactive-si…
💫 Simplify your AI agent development. Google's new open-source Agent Development Kit (ADK) is designed for effortless multi-modal and multi-agent systems. Get started → goo.gle/4jutFO7
Today is the start of a new era of natively multimodal AI innovation. Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality. Llama 4 Scout • 17B-active-parameter model with 16 experts. • Industry-leading context window of 10M tokens. • Outperforms Gemma 3, Gemini 2.0 Flash-Lite and Mistral 3.1 across a broad range of widely accepted benchmarks. Llama 4 Maverick • 17B-active-parameter model with 128 experts. • Best-in-class image grounding with the ability to align user prompts with relevant visual concepts and anchor model responses to regions in the image. • Outperforms GPT-4o and Gemini 2.0 Flash across a broad range of widely accepted benchmarks. • Achieves comparable results to DeepSeek v3 on reasoning and coding — at half the active parameters. • Unparalleled performance-to-cost ratio with a chat version scoring ELO of 1417 on LMArena. These models are our best yet thanks to distillation from Llama 4 Behemoth, our most powerful model yet. Llama 4 Behemoth is still in training and is currently seeing results that outperform GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM-focused benchmarks. We’re excited to share more details about it even while it’s still in flight. Read more about the first Llama 4 models, including training and benchmarks ➡️ go.fb.me/gmjohs Download Llama 4 ➡️ go.fb.me/bwwhe9
New Anthropic research: Tracing the thoughts of a large language model. We built a "microscope" to inspect what happens inside AI models and use it to understand Claude’s (often complex and surprising) internal mechanisms.
