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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 #65242 · 04/12/2026, 08:25 AM

🚀 Former Bank of China VP Comments on U.S. Crypto Regulation Approach Former Bank of China Vice President Wang Yongli has expressed that the United States' method of classifying and regulating crypto assets warrants examination. According to NS3.AI, Wang Yongli noted that the CLARITY Act guidance document represents a notable advancement. However, he emphasized that nations should tailor their crypto asset regulations to align with their specific circumstances. #BankOfChina#CryptoRegulation#USCrypto#CLARITYAct#WangYongli#CryptoPolicy#FinancialRegulation#Blockchain