Название: Large Language Model via Rust: The State of the Art Open Foundational Models in Rust Автор: Jaisy Malikulmulki Arasy, Evan Pradipta Hardinatha, Idham Hanif Multazam Издательство: RantAI Academy Год: January 6, 2025 Страниц: 133 Язык: английский Формат: pdf, epub Размер: 10.1 MB
"LMVR - Large Language Models via Rust" is a pioneering open-source project that bridges the power of foundational models with the robustness of the Rust programming language. It highlights Rust's strengths in performance, safety, and concurrency while advancing the state-of-the-art in AI. Tailored for students, researchers, and professionals, LMVR delivers a comprehensive guide to building scalable, efficient, and secure large language models. By leveraging Rust, this book ensures that cutting-edge research and practical solutions go hand-in-hand. Readers will gain in-depth knowledge of model architectures, training methodologies, and real-world deployments, all while mastering Rust's unique capabilities for AI development.
The rapid development of large language models (LLMs) in both academia and industry has primarily been driven by the use of Python, a language renowned for its accessibility and extensive library support. However, as the scale and complexity of these models increase, there is a growing need for more ef cient, exible, and secure implementations, particularly when it comes to hardware adaptation for training and deployment. LMVR—Large Language Model via Rust—was conceived to address this need by pioneering state-of-the-art open foundational models in Rust. Rust’s memory safety, concurrency, and performance advantages offer unparalleled exibility, making it an ideal choice for pushing the boundaries of LLMs. By developing LMVR, we aim to not only advance the eld of AI but also contribute back to the Rust community, fostering innovation and collaboration across both domains. This endeavor is a signi cant step toward diversifying the ecosystem of AI development and ensuring that cutting-edge research is accessible, secure, and scalable.
This book serves as a comprehensive resource for learning about large language models and their implementation in Rust. Start with Part I to build a strong foundation in the mathematical and architectural aspects of LLMs. Progress through the chapters sequentially to understand advanced transformer architectures and practical applications. Engage with the hands-on exercises in Part III to apply your knowledge in building and optimizing LLMs. The sections on prompt engineering and ethics will enhance your understanding of the broader implications and best practices in LLM development. Use the book as a guide for project work, and don't hesitate to explore additional resources and GenAI tools for deeper insights.
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Large Language Model via Rust 
