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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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Crypto M - Crypto News

@CryptoM · Post #64629 · 04/09/2026, 12:04 PM

🚀 Tokenized Perpetual Swaps Reach $30.7 Billion in Weekly Volume Tokenized perpetual swaps linked to traditional assets have seen significant growth, reaching a weekly volume of $30.7 billion by the end of March, according to NS3.AI. This figure represents 1.72% of the total crypto derivatives market. The surge was primarily driven by commodities, with total weekly volume across these contracts peaking at $54.5 billion during the metals rally in February. #TokenizedSwaps#PerpetualSwaps#CryptoDerivatives#Commodities#MetalsRally#CryptoTrading#NS3AI#WeeklyVolume#FinancialMarkets#DigitalAssets