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Source channel @githubtrending · Post #14926 · Jul 8

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#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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The Kingfisher - Bitcoin & Crypto liquidations signals and analytics

@thekingfisher_btc · Post #3878 · 02/13/2025, 11:23 AM

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Liquidation Map Analysis 🗺️ 1️⃣ Main Liquidation Zones: -⬆️Shorts: 98064 -⬇️Longs: Around 95474 2️⃣ Key Price Levels: - Big clusters at 95474 & 98064. - Smaller clusters scattered, creating volatility potential. 3️⃣ Imbalance: - More short liquidations concentrated ⬆️ than long liquidations ⬇️ near current price. 4️⃣ Potential Moves: - Price could be drawn ⬆️ to clear short positions at 98064. - Downside risk to 95474, where long liquidations could fuel a drop. 5️⃣ Trader Takeaways: - 🤔 Avoid stops near 95474 & 98064! Potential stop hunts! - ⚠️ Be ready for volatility if price approaches these zones. -📈 A break above 98064 could trigger a short squeeze. -📉 A drop below 95474 could trigger long liquidations cascade. #trading#crypto#liquidation

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