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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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Architectural Shovel / Любовь Дмитриева

@arch_shovel · Post #878 · 02/05/2023, 10:15 AM

Espacio de Reflexión Tecnológico de Monterrey architecture: Kalach Tax photographer: Yoshi Koitani location: Monterrey, Mexico The different openings in the #concrete volumetry create poetic #shadows that dance as the sunlight changes. This design decision breaks the rigidity of the material, due to the contrast between solid and immaterial. What are your thoughts on this unique project? #archdaily#arch_shovel#architecture