#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
MicroStrategy(@Strategy) bought another 1,895 $BTC($180.34M) at an average price of $95,167 last week.
#Strategy currently holds 555,450 $BTC($52.35B), with an average buying price of $68,550 and an unrealized profit of $14.28B.
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🚀 Crypto Trader 'Maji' Increases Long Positions Amid Market Fluctuations
On April 11, 'Maji' continued to strategically increase long positions, according to BlockBeats. The total value of these positions has risen to $42.17 million, up from approximately $34 million the previous evening. These positions are reported to have a high safety margin, with liquidation prices significantly lower than current market values.
As of the latest update, 'Maji' holds detailed positions including a 25x leverage on Ethereum with 12,131.7179 ETH at a liquidation price of $2,090.95, a 40x leverage on Bitcoin with 180 BTC at a liquidation price of $62,529.3, and a 10x leverage on HYPE with 43,750 units.
Additionally, 'Maji' has achieved a total contract profit of $1.85 million over the past week, and has turned a monthly loss into a profit of $190,000.
#CryptoTrading#Maji#LongPositions#MarketFluctuations#Ethereum#Bitcoin#LeverageTrading#CryptoProfit#HYPE#ContractProfit#BTC#ETH
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