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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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Venture Village Wall 🦄

@venturevillagewall · Post #3744 · 12/29/2024, 01:00 PM

Five Predictions for On-Chain 2025 Key predictions for 2025 include: 1️⃣ DEX/CEX monthly volume ratio to surpass 20% 2️⃣ One AI agent token projected to hit $10 billion 3️⃣ Emergence of 3-5 new vertical launch tracks based on Pump Fun 4️⃣ At least 5 base tokens expected to be listed on Binance Spot 5️⃣ Hyperliquid to generate over $1 billion in spot opportunities. For details, read more here from Wu Blockchain News. #AI#Crypto#VC#DEX#CEX#Binance#Altcoins#Investments#Token#SpotMarket#VolumeRatio#Blockchain#Predictions#EmergingTrends#Startups#Hyperliquid#PumpFun#MarketOpportunities