Tag: Transformer

Transformer and Reactor Life Management


Free Download Transformer and Reactor Life Management
English | 2024 | ISBN: 3031772180 | 846 Pages | PDF (True) | 45 MB
Transformers and reactors are among the most expensive components in the power system and contribute to a large proportion of its losses. Transformers also have long lives – more 40 years in many cases. Making the wrong decisions on their life management can have serious and long-lasting consequences.

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LLM & Transformer Interview Essentials A-Z


Free Download LLM & Transformer Interview Essentials A-Z: A Silicon Valley Insider’s Guide by X. Fang
English | November 22, 2024 | ISBN: N/A | ASIN: B0DNTJ4ZNG | 366 pages | EPUB | 15 Mb
Ever since the release of ChatGPT in November 2022, the advances in AI and its growth in the public consciousness have been tremendous. At the heart of these epochal changes lies a single machine learning component: the transformer. Like the transistor of the 1960s, the transformer of the 2020s has given us an efficient, composable structure for solving generalized problems, and the transformer can be replicated, scaled up, modularized, and miniaturized however we might need. While the large language models (LLMs) that underpin products like ChatGPT are the most popular, these are but one configuration of the transformer.

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AnalogXAi RND’s Master Bus Transformer Profiles (JSON/GENOME/BYOD)


Free Download AnalogXAi RND’s Master Bus Transformer Profiles (JSON/GENOME/BYOD) | 2.59 MB
🌟 Unlock the Full Potential with 12x Series 2 Rupert Neve Designs Master Bus Transformer Profile Presets! 🌟 At over 4k to buy, we’ve saved you a pretty penny and sampled the most common setup of the MBT. We sampled the Super Silk section separately to give you more control on your final sound and when even included presets with the Zener engaged and disengaged! We’re a thoughtful bunch aren’t we 😉

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Transformer, BERT, and GPT3 Including ChatGPT and Prompt Engineering


Free Download Transformer, BERT, and GPT3 : Including ChatGPT and Prompt Engineering by Campesato Oswald
English | 2024 | ISBN: 9781683928973 | 323 pages | MOBI | 7.24 Mb
This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Spanning across ten chapters, it begins with foundational concepts such as the attention mechanism, then tokenization techniques, explores the nuances of Transformer and BERT architectures, and culminates in advanced topics related to the latest in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the intricacies of the Transformer architecture, a two-part exploration of the BERT family, and hands-on guidance on working with GPT-3. The concluding chapters present an overview of ChatGPT, GPT-4, and visualization using generative AI. In addition to the primary topics, the book also covers influential AI organizations such as DeepMind, OpenAI, Cohere, Hugging Face, and more. Readers will gain a comprehensive understanding of the current landscape of NLP models, their underlying architectures, and practical applications. Features companion files with numerous code samples and figures from the book. FEATURES: Provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Features companion files with numerous code samples and figures from the book.

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Transformer, BERT, and GPT3


Free Download Transformer, BERT, and GPT3 : Including ChatGPT and Prompt Engineering
English | 2024 | ISBN: 9781683928973 | 325 Pages | EPUB (True) | 9 MB
This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Spanning across ten chapters, it begins with foundational concepts such as the attention mechanism, then tokenization techniques, explores the nuances of Transformer and BERT architectures, and culminates in advanced topics related to the latest in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the intricacies of the Transformer architecture, a two-part exploration of the BERT family, and hands-on guidance on working with GPT-3. The concluding chapters present an overview of ChatGPT, GPT-4, and visualization using generative AI. In addition to the primary topics, the book also covers influential AI organizations such as DeepMind, OpenAI, Cohere, Hugging Face, and more. Readers will gain a comprehensive understanding of the current landscape of NLP models, their underlying architectures, and practical applications. Features companion files with numerous code samples and figures from the book. FEATURES: Provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Features companion files with numerous code samples and figures from the book.

(more…)