Programming Large Language Models with Azure Open AI: Conversational Programming and Prompt Engineering with Llms
暫譯: 使用 Azure Open AI 編程大型語言模型：對話式編程與 LLM 的提示工程

Esposito, Francesco

Programming Large Language Models with Azure Open AI: Conversational Programming and Prompt Engineering with Llms
  • 出版商: MicroSoft
  • 出版日期: 2024-04-01
  • 定價: $1,700
  • 售價: 9.5 折 $1,615
  • 語言: 英文
  • 頁數: 256
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0138280371
  • ISBN-13: 9780138280376
  • 相關分類: Prompt Engineering
  • 相關翻譯: 大模型編程實踐與提示工程 (簡中版)

    • 立即出貨 (庫存 < 3)

LLM 大語言模型 詳見活動內容 »

商品描述

Use LLMs to build better business software applications

Autonomously communicate with users and optimize business tasks with applications built to make the interaction between humans and computers smooth and natural. Artificial Intelligence expert Francesco Esposito illustrates several scenarios for which a LLM is effective: crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programming--with specific techniques for patterns and frameworks--unlock how natural language can also lead to a new, advanced approach to coding. Concrete end-to-end demonstrations (featuring Python and ASP.NET Core) showcase versatile patterns of interaction between existing processes, APIs, data, and human input.

Artificial Intelligence expert Francesco Esposito helps you:

  • Understand the history of large language models and conversational programming
  • Apply prompting as a new way of coding
  • Learn core prompting techniques and fundamental use-cases
  • Engineer advanced prompts, including connecting LLMs to data and function calling to build reasoning engines
  • Use natural language in code to define workflows and orchestrate existing APIs
  • Master external LLM frameworks
  • Evaluate responsible AI security, privacy, and accuracy concerns
  • Explore the AI regulatory landscape
  • Build and implement a personal assistant
  • Apply a retrieval augmented generation (RAG) pattern to formulate responses based on a knowledge base
  • Construct a conversational user interface

For IT Professionals and Consultants

  • For software professionals, architects, lead developers, programmers, and Machine Learning enthusiasts
  • For anyone else interested in natural language processing or real-world
    applications of human-like language in software

商品描述(中文翻譯)

使用大型語言模型（LLMs）來構建更好的商業軟體應用程式

自主地與用戶溝通，並優化商業任務，透過設計使人類與計算機之間的互動流暢自然的應用程式。人工智慧專家 Francesco Esposito 說明了幾個大型語言模型有效的場景：打造複雜的商業解決方案、縮短人類與配備軟體的機器之間的距離，以及構建強大的推理引擎。對於提示和對話式編程的深入了解——包括特定的模式和框架技術——揭示了自然語言如何也能引領一種新的、高級的編碼方法。具體的端到端示範（使用 Python 和 ASP.NET Core）展示了現有流程、API、數據和人類輸入之間的多樣互動模式。

人工智慧專家 Francesco Esposito 幫助您：


  • 了解大型語言模型和對話式編程的歷史

  • 將提示應用作為一種新的編碼方式

  • 學習核心提示技術和基本用例

  • 設計高級提示，包括將 LLM 連接到數據和函數調用以構建推理引擎

  • 在代碼中使用自然語言來定義工作流程並協調現有 API

  • 掌握外部 LLM 框架

  • 評估負責任的 AI 安全性、隱私和準確性問題

  • 探索 AI 監管環境

  • 構建和實施個人助理

  • 應用檢索增強生成（RAG）模式根據知識庫制定回應

  • 構建對話式用戶界面

適合 IT 專業人士和顧問


  • 適合軟體專業人士、架構師、首席開發人員、程式設計師和機器學習愛好者

  • 適合任何對自然語言處理或人類語言在軟體中的實際應用感興趣的人

作者簡介

Francesco Esposito, armed with a strong mathematical background, is the author of two Microsoft Press books on Machine Learning. He is currently the Head of Engineering & Data at Crionet, a company that provides innovative solutions for Sports and Media industries. He also founded Youbiquitous, a data analysis and software factory that works on LLMs, and KBMS Data Force, a startup focused on Digital Therapy and intelligent healthcare.

作者簡介(中文翻譯)

Francesco Esposito 擁有堅實的數學背景，是兩本有關機器學習的 Microsoft Press 書籍的作者。他目前是 Crionet 的工程與數據部門負責人，該公司為體育和媒體行業提供創新解決方案。他還創立了 Youbiquitous，一家專注於大型語言模型（LLMs）的數據分析和軟體工廠，以及 KBMS Data Force，一家專注於數位療法和智慧醫療的初創公司。

類似商品