{"product_id":"libro-super-study-guide-transformers-large-language-models","title":"Libro: Super Study Guide: Transformers \u0026 Large Language Models","description":"\u003ctable style=\"border-collapse:collapse;margin-bottom:16px;width:100%\"\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFormato\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTapa Blanda\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNúmero de páginas\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e247\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003cp\u003eThis book is a concise and illustrated guide for anyone who wants to understand the inner workings of large language models in the context of interviews, projects or to satisfy their own curiosity.\u003cbr\u003eIt is divided into 5 parts: Foundations: primer on neural networks and important deep learning concepts for training and evaluation Embeddings: tokenization algorithms, word-embeddings (word2vec) and sentence embeddings (RNN, LSTM, GRU) Transformers: motivation behind its self-attention mechanism, detailed overview on the encoder-decoder architecture and related variations such as BERT, GPT and T5, along with tips and tricks on how to speed up computations Large language models: main techniques to tune Transformer-based models, such as prompt engineering, (parameter efficient) finetuning and preference tuning Applications: most common problems including sentiment extraction, machine translation, retrieval-augmented generation and many more\u003c\/p\u003e","brand":"Independently published","offers":[{"title":"Default Title","offer_id":59897207062609,"sku":"B0DC4NYLTN","price":77100.0,"currency_code":"CLP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0669\/6455\/3809\/files\/61N6oq5HiRL.jpg?v=1785261319","url":"https:\/\/provetodo.cl\/es-cl\/products\/libro-super-study-guide-transformers-large-language-models","provider":"Provetodo ","version":"1.0","type":"link"}