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.
Want to run powerful AI models locally without paying a dime? This guide breaks down which free, open-source LLMs actually work on your specific hardware—whether you're rocking a gaming PC, old laptop, or something in between. Learn the trade-offs between speed, quality, and resource usage, plus step-by-step setup instructions. Stop relying on ChatGPT subscriptions and take control of your own AI.
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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
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