Cargando…
Quick start guide to large language models : strategies and best practices for using ChatGPT and other LLM's /
The advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing in recent years. Models like BERT, T5, and ChatGPT have demonstrated unprecedented performance on a wide range of NLP tasks, from text classification to machine translation. Despite their impr...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Addison-Wesley,
[2024]
|
| Edición: | [First edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000nam a22000007i 4500 | ||
|---|---|---|---|
| 001 | OR_on1398335729 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 230920s2024 njua o 001 0 eng d | ||
| 040 | |a ORMDA |b eng |e rda |e pn |c ORMDA |d OCLCO | ||
| 020 | |z 9780138199197 | ||
| 035 | |a (OCoLC)1398335729 | ||
| 037 | |a 9780138199425 |b O'Reilly Media | ||
| 050 | 4 | |a QA76.9.N38 | |
| 082 | 0 | 4 | |a 006.3/5 |2 23/eng/20230920 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Ozdemir, Sinan, |e author. | |
| 245 | 1 | 0 | |a Quick start guide to large language models : |b strategies and best practices for using ChatGPT and other LLM's / |c Sinan Ozdemir. |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a Hoboken, New Jersey : |b Addison-Wesley, |c [2024] | |
| 300 | |a 1 online resource (288 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 520 | |a The advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing in recent years. Models like BERT, T5, and ChatGPT have demonstrated unprecedented performance on a wide range of NLP tasks, from text classification to machine translation. Despite their impressive performance, the use of LLMs remains challenging for many practitioners. The sheer size of these models, combined with the lack of understanding of their inner workings, has made it difficult for practitioners to effectively use and optimize these models for their specific needs. Quick Start Guide to Large Language Models: Strategies and Best Practices for using ChatGPT and Other LLMs is a practical guide to the use of LLMs in NLP. It provides an overview of the key concepts and techniques used in LLMs and explains how these models work and how they can be used for various NLP tasks. The book also covers advanced topics, such as fine-tuning, alignment, and information retrieval while providing practical tips and tricks for training and optimizing LLMs for specific NLP tasks. This work addresses a wide range of topics in the field of Large Language Models, including the basics of LLMs, launching an application with proprietary models, fine-tuning GPT3 with custom examples, prompt engineering, building a recommendation engine, combining Transformers, and deploying custom LLMs to the cloud. It offers an in-depth look at the various concepts, techniques, and tools used in the field of Large Language Models. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9780138199425/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||