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Source channel @githubtrending · Post #14845 · Jun 20

#jupyter_notebook#ai#artificial_intelligence#chatgpt#deep_learning#from_scratch#gpt#language_model#large_language_models#llm#machine_learning#python#pytorch#transformer You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4]. https://github.com/rasbt/LLMs-from-scratch

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Libreware

@libreware · Post #1583 · 05/04/2026, 03:28 PM

FaceTime Without the Internet | Data Slayer FaceTiming without Apple... I tested whether consumer apps like FaceTime, Signal, WhatsApp, and Zoom work on an off-grid #HaLow#mesh#network with zero internet. The key discovery: FaceTime and Signal connect peer-to-peer if they can find each other on any local network — Apple's servers aren't in the loop. The climax was a two-car highway test where Emilia and I held a FaceTime call at 70 mph, bridged only by Haven nodes and sub-gigahertz antennas. The conclusion: the "loophole" isn't a hack — it's the original peer-to-peer design we forgot about once we handed the internet to five companies. #MeshNetwork#OffGrid#P2P