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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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@venturevillagewall · Post #3757 · 12/31/2024, 04:00 AM

2025 Crypto Outlook Highlights Regulatory Impact Franklin Templeton forecasts a favorable regulatory environment led by US regulators like the SEC, supporting more crypto ETFs and tokenized securities. This trend is expected to reposition the US as a global hub for cryptocurrency innovation. Additionally, in noteworthy transactions: 58 million #XLM was transferred between unknown wallets, and CleanSpark withdrew 3,158 Bitcoins from Coinbase, totaling $293.39M. Former CFTC Chairman Chris Giancarlo praised Bitcoin as 'digital gold'. Read more hereTransaction detailsCleanSpark details #Crypto#US#ETFs#Regulation#Bitcoin#DigitalGold#Innovation#Blockchain#CFTC#XLM#WhaleAlert#CleanSpark#Mining#TokenizedSecurities#Finance#Investment#MarketTrends#2025Outlook#DigitalAssets#CryptoNews