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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 #65365 · 04/13/2026, 02:44 AM

🚀 Hong Kong's Cautious Approach to Digital Asset Licensing Hong Kong's Financial Secretary, Paul Chan, has outlined a cautious strategy for issuing digital asset licenses. According to Foresight News, Chan emphasized a 'small steps, quick progress' approach, initially granting a limited number of licenses. The focus is on practical application scenarios, with plans to evaluate experiences before issuing a second batch. Chan highlighted that stablecoins and digital assets represent financial innovation, requiring encouragement for breakthroughs. However, he stressed the importance of maintaining security and implementing mechanisms to prevent money laundering, necessitating appropriate regulation. While stablecoins offer benefits such as decentralization and high efficiency, Chan noted they should be viewed as payment tools rather than investment instruments. #HongKong#DigitalAssets#FinTech#Stablecoins#FinancialRegulation#CryptoLicensing#Innovation#AML#PaymentSystems