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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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@venturevillagewall · Post #3850 · 01/11/2025, 07:00 PM

$1M Raised for E3 Enclave Project Open-source protocol E3 Enclave successfully raised $1M during its public sale, achieving a $60M fully diluted valuation. The sale was conducted on the Legion platform. Meanwhile, AI-focused protocol BAD Coin secured $1.25M at a $12.5M valuation, emphasizing growth in the AI and crypto sectors. Read more: E3 Enclave | BAD Coin #E3Enclave#BADCoin#AI#Crypto#PublicSale#Blockchain#Funding#Legion#Investment#TechNews#Finance#DeFi#Innovation#Startups#VentureCapital#CryptoNews#TokenSale#Valuation #2025 #Oklahoma#Fraud