Exploring GPT-3: An unofficial first look at the general-purpose language processing API from OpenAI (Paperback)
暫譯: 探索 GPT-3：OpenAI 通用語言處理 API 的非官方初探 (平裝本)

Tingiris, Steve

Exploring GPT-3: An unofficial first look at the general-purpose language processing API from OpenAI (Paperback)
  • 出版商: Packt Publishing
  • 出版日期: 2021-08-27
  • 售價: $2,100
  • 貴賓價: 9.5 折 $1,995
  • 語言: 英文
  • 頁數: 296
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1800563191
  • ISBN-13: 9781800563193
  • 相關分類: 人工智慧

    • 海外代購書籍(需單獨結帳)

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商品描述

Get started with GPT-3 and the OpenAI API for natural language processing using JavaScript and Python

 

Key Features:

  • Understand the power of potential GPT-3 language models and the risks involved
  • Explore core GPT-3 use cases such as text generation, classification, and semantic search using engaging examples
  • Plan and prepare a GPT-3 application for the OpenAI review process required for publishing a live application

 

Book Description:

Generative Pre-trained Transformer 3 (GPT-3) is a highly advanced language model from OpenAI that can generate written text that is virtually indistinguishable from text written by humans. Whether you have a technical or non-technical background, this book will help you understand and start working with GPT-3 and the OpenAI API.

 

If you want to get hands-on with leveraging artificial intelligence for natural language processing (NLP) tasks, this easy-to-follow book will help you get started. Beginning with a high-level introduction to NLP and GPT-3, the book takes you through practical examples that show how to leverage the OpenAI API and GPT-3 for text generation, classification, and semantic search. You'll explore the capabilities of the OpenAI API and GPT-3 and find out which NLP use cases GPT-3 is best suited for. You'll also learn how to use the API and optimize requests for the best possible results. With examples focusing on the OpenAI Playground and easy-to-follow JavaScript and Python code samples, the book illustrates the possible applications of GPT-3 in production.

 

By the end of this book, you'll understand the best use cases for GPT-3 and how to integrate the OpenAI API in your applications for a wide array of NLP tasks.

 

What You Will Learn:

  • Understand what GPT-3 is and how it can be used for various NLP tasks
  • Get a high-level introduction to GPT-3 and the OpenAI API
  • Implement JavaScript and Python code examples that call the OpenAI API
  • Structure GPT-3 prompts and options to get the best possible results
  • Select the right GPT-3 engine or model to optimize for speed and cost-efficiency
  • Find out which use cases would not be suitable for GPT-3
  • Create a GPT-3-powered knowledge base application that follows OpenAI guidelines

 

Who this book is for:

Exploring GPT-3 is for anyone interested in natural language processing or learning GPT-3 with or without a technical background. Developers, product managers, entrepreneurs, and hobbyists looking to get to grips with NLP, AI, and GPT-3 will find this book useful. Basic computer skills are all you need to get the most out of this book.

商品描述(中文翻譯)

開始使用 GPT-3 和 OpenAI API 進行自然語言處理，使用 JavaScript 和 Python

主要特點：


  • 了解潛在的 GPT-3 語言模型的強大功能及其相關風險

  • 探索核心 GPT-3 使用案例，如文本生成、分類和語義搜索，並使用引人入勝的範例

  • 計劃和準備一個 GPT-3 應用程序，以便進行 OpenAI 審核流程，這是發布實時應用程序所需的

書籍描述：

生成式預訓練變壓器 3（GPT-3）是來自 OpenAI 的一個高度先進的語言模型，能夠生成幾乎無法與人類撰寫的文本區分的書面文本。無論您是否具備技術背景，本書將幫助您理解並開始使用 GPT-3 和 OpenAI API。

如果您想親自體驗利用人工智慧進行自然語言處理（NLP）任務，本書將幫助您入門。本書從對 NLP 和 GPT-3 的高層次介紹開始，通過實用範例展示如何利用 OpenAI API 和 GPT-3 進行文本生成、分類和語義搜索。您將探索 OpenAI API 和 GPT-3 的能力，並找出 GPT-3 最適合的 NLP 使用案例。您還將學習如何使用 API 並優化請求以獲得最佳結果。本書的範例專注於 OpenAI Playground，並提供易於遵循的 JavaScript 和 Python 代碼範例，展示 GPT-3 在生產中的可能應用。

在本書結束時，您將了解 GPT-3 的最佳使用案例，以及如何在您的應用程序中整合 OpenAI API 以應對各種 NLP 任務。

您將學到什麼：


  • 了解 GPT-3 是什麼以及如何用於各種 NLP 任務

  • 獲得對 GPT-3 和 OpenAI API 的高層次介紹

  • 實現調用 OpenAI API 的 JavaScript 和 Python 代碼範例

  • 結構化 GPT-3 提示和選項以獲得最佳結果

  • 選擇合適的 GPT-3 引擎或模型，以優化速度和成本效益

  • 找出哪些使用案例不適合 GPT-3

  • 創建一個遵循 OpenAI 指導方針的 GPT-3 驅動的知識庫應用程序

本書適合誰：

《探索 GPT-3》適合任何對自然語言處理感興趣或希望學習 GPT-3 的人，無論是否具備技術背景。開發人員、產品經理、企業家和希望掌握 NLP、AI 和 GPT-3 的愛好者都會發現本書非常有用。您只需具備基本的電腦技能，即可充分利用本書。

作者簡介

Steve Tingiris is the founder and managing director of Dabble Lab, a technology research and services company that helps businesses accelerate learning and adoption of natural language processing, conversational AI, and other emerging technologies. He has been designing and building automation solutions for over 20 years and has consulted on conversational AI projects for companies including Amazon, Google, and Twilio. He also publishes technical tutorials on Dabble Lab’s YouTube channel― one of the most popular educational resources for conversational AI developers―and manages several open-source projects, including the Autopilot CLI, Twilio’s recommended tool for building Autopilot bots. To connect with Steve, you can find him on GitHub tingiris or on Twitter tingiris.

作者簡介(中文翻譯)

Steve Tingiris 是 Dabble Lab 的創辦人及執行董事，Dabble Lab 是一家技術研究與服務公司，幫助企業加速學習和採用自然語言處理、對話式人工智慧及其他新興技術。他在自動化解決方案的設計與建構方面已有超過 20 年的經驗，並曾為包括 Amazon、Google 和 Twilio 在內的公司提供對話式人工智慧專案的諮詢服務。他還在 Dabble Lab 的 YouTube 頻道上發佈技術教學，該頻道是對話式人工智慧開發者最受歡迎的教育資源之一，並管理幾個開源專案，包括 Autopilot CLI，這是 Twilio 推薦的用於建構 Autopilot 機器人的工具。要與 Steve 聯繫，您可以在 GitHub 上找到他 tingiris 或在 Twitter 上找到他 tingiris。

目錄大綱

Table of Contents

  1. Introducing GPT-3 and the OpenAI API
  2. GPT-3 Applications and Use Cases
  3. Working with the OpenAI Playground
  4. Working with the OpenAI API
  5. Calling the OpenAI API in Code
  6. Content Filtering
  7. Generating and Transforming Text
  8. Classifying and Categorizing Text
  9. Building a GPT-3 Powered Question-Answering App
  10. Going Live with OpenAI-Powered Apps

目錄大綱(中文翻譯)

Table of Contents


  1. Introducing GPT-3 and the OpenAI API

  2. GPT-3 Applications and Use Cases

  3. Working with the OpenAI Playground

  4. Working with the OpenAI API

  5. Calling the OpenAI API in Code

  6. Content Filtering

  7. Generating and Transforming Text

  8. Classifying and Categorizing Text

  9. Building a GPT-3 Powered Question-Answering App

  10. Going Live with OpenAI-Powered Apps

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