用 Python 打造進階 AI 群體系統:整合 ChatGPT Assistants API 實戰課程

用 Python 打造進階 AI 群體系統:整合 ChatGPT Assistants API 實戰課程

想讓多個 ChatGPT 協作處理任務嗎?本課程教你如何透過 Python 與 OpenAI Assistants API 打造高效、可擴充的 AI Swarm 系統。從多助理對話流程設計、RESTful API 整合,到實作專案與倫理實務分析,全面掌握下一代 AI 協同應用技術,適合有 Python 與 AI 開發經驗的工程師與創新開發者。

此教程為高質量英文原版視頻教學資源,英文不好的可以使用翻譯插件學習。

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教程名稱:Build Advanced AI Swarms in Python with ChatGPT API

下載連結:https://www.nidown.com/chatgpt-42342.html

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最便捷、最實惠的 ChatGPT Plus 升級服務來了!!!

查看詳情:https://www.kkmac.com/go/chatgpt

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英文原版介紹

ublished 1/2024
Created by Hendrik Fuchs
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 18 Lectures ( 3h 33m ) | Size: 1.4 GB

Master AI Swarm Techniques with Python: Efficient, Scalable, Real-World Applications

What you’ll learn:

Demonstrate the ability to configure and utilize the OpenAI Assistants API for creating ChatGPT-driven AI swarms.
Design and implement complex conversational flows using multiple coordinated ChatGPT assistants for diverse applications.
Execute a series of project-based tasks that involve setting up, managing, and troubleshooting AI swarms using the Assistants API.
Assess the ethical implications and best practices in deploying AI swarms in real-world scenarios, drawing from case studies and current industry standards.
Requirements:

Basic understanding of AI concepts and familiarity with chatbot functionalities.
Proficiency in Python programming and experience with software development practices.
An OpenAI account with access to the Assistants API for practical exercises.
Ability to use RESTful APIs and handle JSON data structures for integrating AI services.

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