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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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Crypto M - Crypto News

@CryptoM · Post #65040 · 04/10/2026, 03:26 PM

🚀 Quantum Threats Are Real but Not Immediate, Experts Say Quantum computing poses a genuine threat to current cryptographic systems, but it is not an immediate concern. According to PANews, understanding which cryptographic components will be affected and how the industry plans to transition is crucial. Experts emphasize the importance of identifying vulnerable areas and preparing for a gradual migration to quantum-resistant technologies. The focus should be on strategic planning and readiness to ensure security in the face of future quantum advancements. #QuantumComputing#Cryptography#CyberSecurity#QuantumThreats#QuantumResistant#TechPlanning#FutureTechnology