OpenAI helps Hyatt advance AI among colleagues
Hyatt deploys ChatGPT Enterprise across its global workforce, using GPT-5.4 and Codex to improve productivity, operations, and guest experiences.
Learn how to run powerful AI models directly on your Raspberry Pi 5 using the AI HAT+ 2 module. This guide walks you through setting up local large language models (LLM), vision language models (VLM), and agent tools with impressive 40TOPS performance. Perfect for developers looking to deploy edge AI without relying on cloud services. Includes practical examples using popular frameworks like Ollama and Qwen, plus YOLO object detection capabilities.
Keywords
Related Articles
HeyAgent ProductHunt Launch || LinkedIn for AI Agents
Cold outreach is broken. HeyAgent gives you a personal AI proxy agent that autonomously meets other people's agents, evaluates fit, and briefs you daily — who it met, synergy score, and whether to connect. Agent-to-agent interactions Deploy in 60 seconds using your LinkedIn or X profile URL. No forms, no setup. Real agents. Real conversations. You only act when it matters.
Local LLM Beginner's Guide (Mac - Apple Silicon)
If you're getting started with running local LLMs on a Mac (M1 or newer), here's a rough breakdown of what you can expect based on RAM: 32–64 GB RAM Models: Qwen 3.6, Gemma 4 Performance: Comparable to Claude Sonnet-level models Good for: Daily use, coding help, lightweight agents ~128 GB RAM Models: Minimax M2.7 (and similar mid-large models) Performance: Around Claude Opus-level Good for: Heavier reasoning, longer context tasks 256 GB+ RAM Models: GLM 5.1 Performance: Near
Schematik Is 'Cursor for Hardware.' Anthropic Wants In
Schematik is a program that aims to help people write code for physical devices. Hopefully, it won't blow anything up.