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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 #971 · 11/11/2024, 07:43 PM

‘Where’s House Warehouse’ by pbm Architects defies typical warehouse stereotypes with an ethereal design in Bangkok. The architects crafted a multi-use space blending office and storage functions. Its facade, made of glass cuboids, breaks the monotony of industrial contexts. The concept evolved from merging living, working, and storage areas seamlessly, fostering interaction and fluidity. Architecture: PBM Architects Images: Spaceshift Studio 📍Bangkok, Thailand . #facadedesign#glassarchitecture#thaiarchitecture#industrialarchitecture#arch_shovel