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Source channel @githubtrending · Post #14926 · Jul 8

#jupyter_notebook#artificial_intelligence#book#large_language_models#llm#llms#oreilly#oreilly_books You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs. https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

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Binance Big Pump Signals Future trade

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

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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

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