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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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Binance Big Pump Signals Future trade

@binancebigpumpsignalsfuture · Post #2676 · 05/05/2025, 06:03 AM

It might look a little confusing at first, but pay attention. On this chart we have DXY, GOLD and BTC. DXY, which is a representative chart of the USD, has an inverse relationship with GOLD and BTC. This is because when the dollar is strong, big money moves into high interest bonds that are safe. When the dollar weakens, big money moves into safe havens and riskier assets. What we can firstly see on the chart is that every time DXY drops, GOLD almost instantly moves higher. Secondly, we can see that BTC also moves higher, but it lags behind GOLD. But that’s not the most interesting thing… The most interesting thing here is that every single time DXY has entered a down trend, BTC has began its move between 133 days and 140 days later. This time, that gives us an end of May date as to when BTC will begin its next true move higher. It’s just facts, right there for you to see. #CryptoSignal#Binance#PumpAlert#FuturesTrade