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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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Venture Village Wall 🦄

@venturevillagewall · Post #3809 · 01/07/2025, 07:00 AM

BTC & ETH ETFs See Massive Inflows 🎄Christmas Update on Crypto ETFs! BTC ETFs had an inflow of $978.6 million, while ETH ETFs attracted $128.7 million. Ex-BitMEX head Arthur Hayes predicts the bullish phase may peak by mid-March, suggesting to increase risk but take profits before April due to upcoming tax and liquidity tightening cycles. Positive dollar momentum is expected to boost liquidity by $612 billion. Key drivers include a decrease in RRP funds and TGA usage by the U.S. Treasury. 🚀 For more details, visit: Wu Blockchain News #Crypto#BTC#ETH#ETF#ArthurHayes#MarketTrends#Liquidity#RRP#TGA#QuantitativeTightening#Finance#Investing#BullMarket#CryptoNews#MarketPredictions#Inflows#Christmas2025#LiquidityDrivers