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Source channel @githubtrending · Post #14909 · Jul 3

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#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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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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