From Data Selection To Fine Tuning: The Technical Guide To Constructing LLM Models

Aragon, Richard Anthony

From Data Selection To Fine Tuning: The Technical Guide To Constructing LLM Models
  • 出版商: Independently Published
  • 出版日期: 2023-09-04
  • 售價: $830
  • 貴賓價: 9.5 折 $789
  • 語言: 英文
  • 頁數: 74
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798860315075
  • ISBN-13: 9798860315075
  • 相關分類: LangChain

    • 海外代購書籍(需單獨結帳)

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商品描述

From Data Selection To Fine Tuning: The Technical Guide To Constructing LLM Models

Learn how to build and train large language models (LLMs) from scratch

Large 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.

This book provides a technical guide to constructing LLM models. It covers everything from data selection to fine tuning, including:

  • How to select the right data for your model
  • How to preprocess your data
  • How to choose the right architecture for your model
  • How to train your model
  • How to evaluate your model
  • How to fine tune your model

The book also covers the ethical considerations involved in building and using LLM models.

If 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.

Key Features:

  • Covers all aspects of LLM model construction, from data selection to fine tuning
  • Provides a hands-on approach with practical examples
  • Discusses the ethical considerations involved in building and using LLM models
  • Written by an expert in the field of AI

Audience:

This book is for anyone who wants to learn how to build and train LLM models. It is suitable for both beginners and experienced professionals.

Here are some additional points that you could include in the description:

  • The book is written in a clear and concise style, making it easy to follow.
  • The book is full of practical examples, so you can learn by doing.
  • The book is up-to-date with the latest research in the field of LLMs.
  • The book is written by an expert in the field of AI, so you can be confident that you are learning from the best.

商品描述(中文翻譯)

從數據選擇到微調：構建 LLM 模型的技術指南

學習如何從零開始構建和訓練大型語言模型（LLMs）

大型語言模型（LLMs）是一種人工智慧（AI），它們在大量的文本和代碼數據集上進行訓練。這使得它們能夠生成文本、翻譯語言、撰寫各種創意內容，並以資訊性的方式回答您的問題。

本書提供了構建 LLM 模型的技術指南。內容涵蓋從數據選擇到微調的所有方面，包括：
- 如何為您的模型選擇合適的數據
- 如何預處理您的數據
- 如何選擇適合您模型的架構
- 如何訓練您的模型
- 如何評估您的模型
- 如何微調您的模型

本書還討論了構建和使用 LLM 模型所涉及的倫理考量。

如果您有興趣學習如何構建和訓練 LLM 模型，那麼這本書就是為您而寫。它是一個全面且最新的資源，將教您所需了解的一切。

主要特點：
- 涵蓋 LLM 模型構建的所有方面，從數據選擇到微調
- 提供實作方法，並附有實際範例
- 討論構建和使用 LLM 模型所涉及的倫理考量
- 由 AI 領域的專家撰寫

讀者對象：
本書適合任何想學習如何構建和訓練 LLM 模型的人。無論是初學者還是有經驗的專業人士均適用。

以下是您可以在描述中加入的一些額外要點：
- 本書以清晰簡潔的風格撰寫，易於理解。
- 本書充滿實際範例，讓您可以透過實作學習。
- 本書與 LLM 領域的最新研究保持同步。
- 本書由 AI 領域的專家撰寫，讓您可以放心學習。

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