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Hands-On OpenAI API: ساختن یک راه حل در دنیای واقعی

Building a real-world AI app
00:34
What you need to know
01:48
What you are going to build throughout this course
02:29
Preparing the tools and development environment
01:35

Extracting rich information from audio messages
00:37
Installing the required library and preparing the code
01:53
Transcribing the audio files by using the Audio API
03:29
Creating the JSON document using the Chat Completions API
03:56

Bringing the KinderLogger assistant idea to life
00:30
Creating the assistant using the Assitants API
04:08
Creating a new conversation thread and adding a message
01:53
Running and testing the conversation thread
02:39

Using private documents and data in the KinderLogger project
00:30
Uploading the transcription files to the assistant
01:54
Improving the assistant with prompt engineering techniques
02:49
Using the assistant on the Assistants Playground
01:26

Exposing the assistant as a service
00:35
Creating the Web API using the FastAPI library
02:46
Calling the assistant from the Web API
02:40
Implementing logging in the Web API
03:09
Building and publishing the Docker container image
02:13
Deploying the Azure Container App for the service
03:22

Applying responsible AI practices in KinderLogger
00:28
Implementing the Moderations API in the transcription app
01:07
Implementing the Moderations API in the Web API
02:07
Building a new image and updating the Azure Container App
01:48

Using a GPT as a frontend for the KinderLogger project
00:28
Creating the GPT and the action for invoking the service
03:28
Testing the KinderLogger GPT
02:24

Next steps
01:02

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