آموزش OpenAI Assistants با OpenAI Python API

عنوان دوره : Udemy – OpenAI Assistants with OpenAI Python API

سطح : متوسط

زمان کل دوره : 4.13 ساعت

تعداد فایل های تصویری : 24

سال آموزش : 2023

فایل تمرینی : دارد

مربی دوره : Jose Portilla

نرم افزار : –

زیرنویس انگلیسی : دارد

Udemy – OpenAI Assistants with OpenAI Python API

What you’ll learn
Understand the basics of the OpenAI Chat Completion API Call
Learn how to create OpenAI Assistants that can run and execute code on their own.
Discover the power of knowledge retrieval with assistants, allowing them to use your documents!
Build your own assistants that can utilize custom function calling to run your own custom Python functions!

Unleash the Power of AI in Your Applications with Our Exclusive OpenAI Assistants API Course!

Welcome to an extraordinary journey into the world of AI with our Udemy course on the OpenAI Assistants API. This course is designed for enthusiasts, developers, and innovators who are eager to integrate advanced AI capabilities into their applications.

Key Highlights of the Course:

Assistant Creation Mastery: Dive into the world of creating versatile AI assistants. Learn to configure assistants using the cutting-edge GPT-3.5 or GPT-4 models. Get hands-on experience in enabling advanced tools like Code Interpreter and Retrieval, and see how you can create specialized assistants, such as a personal math tutor, tailored to your needs.
Conversation Management with Threads: Master the art of managing user interactions through Threads. Understand how each user interaction starts a new Thread with no limit on the number of messages, and how the Assistant efficiently manages input tokens within the maximum context window.
Advanced Message Handling: Explore the intricacies of adding text and files to a Thread. Stay ahead with insights into upcoming features like image uploads in messages.
Dynamic Assistant Responses: Learn to run the Assistant effectively to process messages in a Thread, triggering tools automatically. Gain expertise in context window management, crucial for both cost efficiency and performance optimization.
Run Status and Response Display: Become proficient in monitoring the status of Runs and displaying the Assistant’s responses upon completion, a key skill for ensuring seamless user experiences.
Customization and Tool Access: Customize Assistants to match specific requirements. Gain knowledge in using OpenAI-hosted tools and creating custom tools through Function Calling.
File Handling and Object Architecture: Understand how to handle various file formats and delve into the object architecture of the API, including Assistants, Threads, Messages, Runs, and Run Steps.
Practical Run and Thread Management: Learn the practical aspects of managing Threads and Messages, and understand the lifecycle and statuses of Runs, including polling and thread locks.
Data Access and API Limitations: Get guidance on appropriate data access controls and authorization, and understand the current limitations of the API.
Tools Deep Dive: Get a comprehensive understanding of tools like Code Interpreter, Knowledge Retrieval, and Function Calling. Learn about their costs, capabilities, and how they enhance the functionality of AI assistants.