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Quick Start Guide to Large Language Models - Strategies and Best Practices for Using ChatGPT and Other LLMs
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Quick Start Guide to Large Language Models - Strategies and Best Practices for Using ChatGPT and Other LLMs
Series: Addison-Wesley Data & Analytics Series
Expected to ship within 12 - 17 working days
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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 LLMsĀ 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. Topics covered: Coding with
Large Language Models (LLMs) Overview of using proprietary models
OpenAI, Embeddings, GPT3, and ChatGPT Vector databases and building
a neural/semantic information retrieval system Fine-tuning GPT3
with custom examples Prompt engineering with GPT3 and ChatGPT
Advanced prompt engineering techniques Building a recommendation
engine Combining Transformers Deploying custom LLMs to the cloud
General
Imprint: |
Addison Wesley
|
Country of origin: |
United States |
Series: |
Addison-Wesley Data & Analytics Series |
Release date: |
October 2023 |
Authors: |
Sinan Ozdemir
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Pages: |
272 |
ISBN-13: |
978-0-13-819919-7 |
Categories: |
Books
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LSN: |
0-13-819919-1 |
Barcode: |
9780138199197 |
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