{"product_id":"from-data-selection-to-fine-tuning-the-technical-guide-to-constructing-llm-models-9798860315075","title":"From Data Selection To Fine Tuning: The Technical Guide To Constructing LLM Models","description":"\u003cp\u003e\u003cb\u003eFrom Data Selection To Fine Tuning: The Technical Guide To Constructing LLM Models\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLearn how to build and train large language models (LLMs) from scratch\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eLarge language models (LLMs) are a type of artificial intelligence (AI) that are trained on massive datasets of text and code. This allows them to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.\u003c\/p\u003e\u003cp\u003eThis book provides a technical guide to constructing LLM models. It covers everything from data selection to fine tuning, including: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHow to select the right data for your model\u003c\/li\u003e\n\u003cli\u003eHow to preprocess your data\u003c\/li\u003e\n\u003cli\u003eHow to choose the right architecture for your model\u003c\/li\u003e\n\u003cli\u003eHow to train your model\u003c\/li\u003e\n\u003cli\u003eHow to evaluate your model\u003c\/li\u003e\n\u003cli\u003eHow to fine tune your model\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe book also covers the ethical considerations involved in building and using LLM models.\u003c\/p\u003e\u003cp\u003eIf you are interested in learning how to build and train LLM models, then this book is for you. It is a comprehensive and up-to-date resource that will teach you everything you need to know.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKey Features: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCovers all aspects of LLM model construction, from data selection to fine tuning\u003c\/li\u003e\n\u003cli\u003eProvides a hands-on approach with practical examples\u003c\/li\u003e\n\u003cli\u003eDiscusses the ethical considerations involved in building and using LLM models\u003c\/li\u003e\n\u003cli\u003eWritten by an expert in the field of AI\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eAudience: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis book is for anyone who wants to learn how to build and train LLM models. It is suitable for both beginners and experienced professionals.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eHere are some additional points that you could include in the description: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eThe book is written in a clear and concise style, making it easy to follow.\u003c\/li\u003e\n\u003cli\u003eThe book is full of practical examples, so you can learn by doing.\u003c\/li\u003e\n\u003cli\u003eThe book is up-to-date with the latest research in the field of LLMs.\u003c\/li\u003e\n\u003cli\u003eThe book is written by an expert in the field of AI, so you can be confident that you are learning from the best.\u003c\/li\u003e\n\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Richard Anthony Aragon\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/04\/2023\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 74\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.24lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.15d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9798860315075\u003cp\u003e\u003ci\u003eThis title is not returnable\u003c\/i\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/ul\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":42902696296563,"sku":"9.80E+12","price":18.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/files\/img_44f73847-b5a1-4474-8843-3c60fa1d5f4a.jpg?v=1741692810","url":"https:\/\/bookstorenmore.com\/en-de\/products\/from-data-selection-to-fine-tuning-the-technical-guide-to-constructing-llm-models-9798860315075","provider":"Bookstore N More","version":"1.0","type":"link"}