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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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🦾#КороткойСтрокой • Гендиректор #Nvidia предсказал появление игр, целиком сгенерированных ИИ, менее чем через 10 лет. • В MIT придумали способ в 30 раз ускорить генерацию изображений с помощью нейросетей. • Глава #StabilityAI Эмад Мостак ушел в отставку. Он заявил, что займется децентрализованным ИИ. • По данным WABetaInfo, мессенджер WhatsApp работает над размещением #Meta AI в строке поиска.

The Digi Doodles

@Digi_doodles · Post #624 · 08/05/2025, 09:05 AM

Stability AI: Fair Pay for Artists?💐 Prem Akkaraju, CEO of Stability AI, has announced a game-changing commitment: Artists whose work is used to train generative AI models may soon receive compensation — similar to royalties on Spotify. Key points: — Focus on licensed training data — Plans for revenue-sharing models with creators — A move toward ethical and transparent AI development ✉️As debates rage over AI and authorship, Stability AI takes a step toward making tech fairer — and more artist-friendly. #AIArt#StabilityAI#CreativeRights#EthicalAI#ArtAndTech