"Hands-On Large Language Models" is a book and resource that provides a practical guide to understanding and utilizing large language models (LLMs). It focuses on both the conceptual foundations and practical applications of LLMs, offering a balance between theoretical explanations and hands-on examples, including code, diagrams, and worked-through use cases. The book covers topics from basic tokenization and embeddings to advanced techniques like fine-tuning and building semantic search engines.
[Xem chi tiết]📚📚 I. THÔNG TIN SẢN PHẨM
📒 Mã sản phẩm : STT1522
📒 Nhà xuất bản : O'Reilly Media
📒 Tác giả : Jay Alammar, Maarten Grootendorst
📒 Ngôn ngữ : Tiếng Anh
📒 ISBN : 1098150961
📒 Số trang : 425 trang
📒 Hình thức : Bìa Mềm, IN ĐEN TRẮNG
📒 Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
📒 Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
📒 Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.
📚📚 II. MÔ TẢ SẢN PHẨM
📒 1.Mô tả sản phẩm
AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. Through this book's visually educational nature, readers will learn practical tools and concepts they need to use these capabilities today.
You'll understand how to use pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; and use existing libraries and pretrained models for text classification, search, and clusterings.
This book also helps you:
📒 2. Tác giả
Jay Alammar is Director and Engineering Fellow at Cohere (pioneering provider of large language models as an API). In this role, he advises and educates enterprises and the developer community on using language models for practical use cases). Through his popular AI/ML blog, Jay has helped millions of researchers and engineers visually understand machine learning tools and concepts from the basic (ending up in the documentation of packages like NumPy and pandas) to the cutting-edge (Transformers, BERT, GPT-3, Stable Diffusion). Jay is also a co-creator of popular machine learning and natural language processing courses on Deeplearning.ai and Udacity.
Maarten Grootendorst is a Senior Clinical Data Scientist at IKNL (Netherlands Comprehensive Cancer Organization). He holds master's degrees in organizational psychology, clinical psychology, and data science which he leverages to communicate complex Machine Learning concepts to a wide audience. With his popular blogs, he has reached millions of readers by explaining the fundamentals of Artificial Intelligence--often from a psychological point of view. He is the author and maintainer of several open-source packages that rely on the strength of Large Language Models, such as BERTopic, PolyFuzz, and KeyBERT. His packages are downloaded millions of times and used by data professionals and organizations worldwide.
Sản phẩm đa dạng : Đầu sách phong phú. Nhận In sách theo yêu cầu.
Tư vấn nhiệt tình : Giải đáp mọi yêu cầu của khách hàng nhanh chóng.
Uy tín - Chất lượng : Bán hàng bằng cả trái tim.
Giá luôn luôn tốt : Giá luôn thấp nhất thị trường.