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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 #64674 · 04/09/2026, 01:33 PM

🚀 AlphaTON Capital Secures $43 Million Strategic Funding for AI Infrastructure AlphaTON Capital has announced a strategic financing agreement with Vertical Data, valued at approximately $43 million. According to Foresight News, the deal is expected to be finalized by the second quarter of 2026. The funding will focus on AI hardware deployment, accelerating the development of privacy computing and sovereign AI infrastructure. This initiative aims to support the integration of AI, digital assets, and confidential computing. Additionally, AlphaTON's AI and privacy computing infrastructure will provide foundational computing power for applications related to partners such as Telegram and Animoca Brands. #AlphaTONCapital#StrategicFunding#AIInfrastructure#PrivacyComputing#SovereignAI#DigitalAssets#AIHardware#ConfidentialComputing#VerticalData#ForesightNews#Telegram#AnimocaBrands#TON