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    LLM Engineer's Handbook. Master the art of engineering Large Language Models from concept to production

    (ebook) (audiobook) (audiobook) Książka w języku angielskim
    Autorzy:
    Paul Iusztin, Maxime Labonne, Alex Vesa
    LLM Engineer's Handbook. Master the art of engineering Large Language Models from concept to production Paul Iusztin, Maxime Labonne, Alex Vesa - okladka książki

    LLM Engineer's Handbook. Master the art of engineering Large Language Models from concept to production Paul Iusztin, Maxime Labonne, Alex Vesa - okladka książki

    LLM Engineer's Handbook. Master the art of engineering Large Language Models from concept to production Paul Iusztin, Maxime Labonne, Alex Vesa - audiobook MP3

    LLM Engineer's Handbook. Master the art of engineering Large Language Models from concept to production Paul Iusztin, Maxime Labonne, Alex Vesa - audiobook CD

    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    The field of Artificial Intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book provides practical insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. This comprehensive guide walks you through building an end-to-end LLM-powered technical content writer, by overcoming isolated Jupyter Notebooks and focusing on teaching how to build production-grade end-to-end LLM systems.

    Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment . The hands-on approach, combined with detailed examples, helps you understand the implementation of MLOps components in your projects. The book also explores the cutting-edge advancements in the field, including inference optimization and real-time data processing, making it a vital resource for anyone looking to leverage LLMs in their projects.

    By the end of this book, you will be proficient in deploying robust large language models, leveraging them to solve practical problems, and maintaining low-latency and high-availability inference capabilities. Whether you are new to AI or an experienced practitioner, this book offers valuable insights and practical knowledge to enhance your expertise in LLMs.

    Wybrane bestsellery

    O autorach książki

    Paul Iusztin is a senior ML and MLOps engineer at Metaphysic, a leading GenAI platform, serving as one of their core engineers in taking their deep learning products to production. Along with Metaphysic, with over seven years of experience, he built GenAI, Computer Vision and MLOps solutions for CoreAI, Everseen, and Continental. Paul's determined passion and mission are to build data-intensive AI/ML products that serve the world and educate others about the process. As the Founder of Decoding ML, a channel for battle-tested content on learning how to design, code, and deploy production-grade ML, Paul has significantly enriched the engineering and MLOps community. His weekly content on ML engineering and his open-source courses focusing on end-to-end ML life cycles, such as Hands-on LLMs and LLM Twin, testify to his valuable contributions.
    Maxime Labonne is currently a senior applied researcher at Airbus. He received a M.Sc. degree in computer science from INSA CVL, and a Ph.D. in machine learning and cyber security from the Polytechnic Institute of Paris. During his career, he worked on computer networks and the problem of representation learning, which led him to explore graph neural networks. He applied this knowledge to various industrial projects, including intrusion detection, satellite communications, quantum networks, and AI-powered aircrafts. He is now an active graph neural network evangelist through Twitter and his personal blog.
    Alexandru Vesa brings over a decade of expertise as an AI Engineer, refined through roles in multinational corporations and dynamic startups. Currently serving as the Chief Executive Officer at Cube Digital, an AI Software Development firm he leads with a vision born from the transformative potential of AI algorithms. Alex's fascination with AI's potential sparked a vision for its transformative impact across industries. With a wealth of experience navigating diverse business environments and shaping AI products, he built a versatile skill set, proficient in guiding projects from inception to scalable success. Alex is a pragmatic thinker who draws inspiration from various fields, seamlessly integrating state-of-the-art technologies with proven engineering methods. His expertise lies in practical problem-solving and effective communication, making him an indispensable force in utilizing AI to foster innovation and achieve tangible results.

    Packt Publishing - inne książki

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