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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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以太坊区块链新闻| ETH 以太币圈热瓜

@ethereumglobalnews · Post #1480 · 12/04/2025, 04:28 AM

🪙Spot DEX volumes show clear distribution patterns across major chains. 主要公鏈的 現貨 DEX 交易量分布 出現明顯輪動: #以太坊 仍維持主導地位 $BNB $SOL 與 $Base 等鏈的交易活動則在持續提升,新興生態如 $HYPE、WET、MET、RAY 等亦開始形成早期流動性聚落。 #区块链#DeFi#Chains#Crypto ——— ⚡️ 多鏈 DEX 流量正在同步擴散,資金從單一主鏈向多生態分流,顯示使用者行為已進入「多鏈並行」新常態。 ✅Chat: @Web3NewsInsight 🦂 👇Tip👇讚 或點擊進行💎資源搜索👇