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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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SpotOnChain | Announcement

@spotonchain · Post #146 · 04/04/2023, 05:54 AM

🚨🚨🚨Two gigantic whales transferred out a total of 1.57B $DOGE at $0.094 (~$147.4M) when $DOGE price surged after Elon Musk’s Twitter changed its logo to the meme coin. ⭐️ Whale DFGAac cleared out all of its 918M $DOGE ($86.6M) ✅ Used to rank #17 ✅ Current balance: 0 $DOGE ✅ Realized profit: $15.8M ⭐️ Whale DDuXGM partly moved out 650M $DOGE ($61.3M) ✅ Still ranks #5 ✅ Current balance: 3.79B $DOGE ($367M) ✅ Expected profit: $80.1M They acted fast and just 3 mins apart from each other. $DOGE price fell to $0.09 subsequently before bouncing back to the current level of $0.095. Addresses: DFGAacQ6WtPxfQuf1Rz84f9YWsX3xUvPtf DDuXGMFNGpGjaAqyDunSMvceMBruc1wwKF

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