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  • Book : Hands-on Large Language Models - Alammar, Jay
    Precio:  $187,899.00

    Book : Hands-on Large Language Models - Alammar, Jay

    -Titulo Original : Hands-On Large Language Models: Language Understanding and Generation-Fabricante : OReilly Media-Descripcion Original: 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 books visually educational nature, readers will learn practical tools and concepts they need to use these capabilities today. Youll 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: Understand the architecture of Transformer language models that excel at text generation and representation Build advanced LLM pipelines to cluster text documents and explore the topics they cover Build semantic search engines that go beyond keyword search, using methods like dense retrieval and rerankers Explore how generative models can be used, from prompt engineering all the way to retrieval-augmented generation Gain a deeper understanding of how to train LLMs and optimize them for specific applications using generative model fine-tuning, contrastive fine-tuning, and in-context learnin...
  • Book : The Engineering Executive's Primer - Larson, Will
    Precio:  $103,429.00

    Book : The Engineering Executive's Primer - Larson, Will

    -Titulo Original : The Engineering Executive's Primer: Impactful Technical Leadership-Fabricante : OReilly Media-Descripcion Original: As an engineering manager, you almost always have someone in your company to turn to for advice: a peer on another team, your manager, or even the head of engineering. But who do you turn to if youre the head of engineering? Engineering executives have a challenging learning curve, and many folks excitedly start their first executive role only to leave frustrated within the first 18 months. In this book, author Will Larson shows you ways to obtain your first executive job and quickly ramp up to meet the challenges you may not have encountered in non-executive roles: measuring engineering for both engineers and the CEO, company-scoped headcount planning, communicating successfully across a growing organization, and figuring out what people actually mean when they keep asking for a technology strategy. This book explains how to: Get an engineering executive job, negotiate the contract, and onboard at your new company Run an engineering planning process and communicate effectively with the organization Direct the core meetings necessary to operate an effective engineering organization Hire, onboard, and run performance management Manage yourself and remain effective through many challenges Leave the job when the time is right Will Larson was the chief technology officer at Calm and the author of An Elegant Puzzle and Staff Engineer. Hes also a prolific writer on his blog, Irrational Exuberance...
  • Book : Ai engineering - Huyen, Chip
    Precio:  $192,119.00

    Book : Ai engineering - Huyen, Chip

    -Titulo Original : AI Engineering: Building Applications with Foundation Models-Fabricante : OReilly Media-Descripcion Original: Recent breakthroughs in AI have not only increased demand for AI products, theyve also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models. The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach. AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. Youll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications. Understand what AI engineering is and how it differs from traditional machine learning engineering Learn the process for developing an AI application, the challenges at each step, and approaches to address them Explore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they work Examine the bottlenecks for latency and cost when serving foundation models and learn how to overcome them Choose the right model, dataset, evaluation benchmarks, and metrics for your needs Chip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. Shes the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI. AI Engineering builds upon and is complementary to Designing Machine Learning Systems (OReilly)...
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