Large Language Model via Rust by Jaisy Malikulmulki Arasy (.PDF)+

File Size: 10 MB

Large Language Model via Rust: The State of the Art Open Foundational Models in Rust by Jaisy Malikulmulki Arasy, Evan Pradipta Hardinatha, Idham Hanif Multazam
Requirements: .ePUB, .PDF reader, 10 MB
Overview: “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.
Genre: Non-Fiction > Tech & Devices

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