#python#llms#mlx
MLX LM is a Python tool that helps you run and fine-tune large language models (LLMs) efficiently on Apple Silicon Macs. It connects easily to thousands of models on Hugging Face, supports model quantization to save memory, and allows distributed training. You can generate text or chat with models via simple commands or Python code. It also offers features like prompt caching and memory optimization for handling long texts, making it faster and less resource-heavy. This means you can run powerful AI models locally on your Mac without needing expensive cloud services, saving cost and improving speed.
https://github.com/ml-explore/mlx-lm
#typescript#ai#cli#summarize#typescript
Summarize is a fast tool for summarizing URLs, PDFs, images, audio/video, YouTube, and podcasts via Chrome Side Panel (with chat and history), Firefox Sidebar, or CLI. Install the extension from Chrome Web Store, add the local daemon with `npm i -g @steipete/summarize` and `summarize daemon install --token <TOKEN>`, then get one-click summaries, YouTube slides with OCR/timestamps, streaming Markdown, and media transcription. It saves time by quickly digesting long content so you focus on key insights without reading everything.
https://github.com/steipete/summarize
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