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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. 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.
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. 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.