Hands-On OpenAI API: Building a Real-World Solution
Hands-On OpenAI API: Building a Real-World Solution
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 59m | 146 MB
Instructor: Rodrigo Díaz Concha
OpenAI stands at the forefront of AI, particularly when it comes to large language models (LLMs). If you're a developer or business leader looking to leverage AI-powered tools, this course helps you to get up to speed with how to use OpenAI APIs to build solutions based on the retrieval-augmented generation (RAG) technique.
Join instructor Rodrigo Díaz Concha as he demonstrates a wide variety of solution-building options including using the Audio API to transcribe audio and the Chat Completions API to create documents. Test your new skills with a real-world project named KinderLogger by building an assistant using the Assistants API, implementing a retrieval-augmented generation (RAG) process in the assistant, and implementing a Web API using FastAPI to expose the assistant. Along the way, learn how to identify harmful content with the Moderations API, and create and use a GPT as a front end to invoke the service and test your KinderLogger project.
Exercise Files on GitHub
More Info
![Hands-On OpenAI API: Building a Real-World Solution]()
Join instructor Rodrigo Díaz Concha as he demonstrates a wide variety of solution-building options including using the Audio API to transcribe audio and the Chat Completions API to create documents. Test your new skills with a real-world project named KinderLogger by building an assistant using the Assistants API, implementing a retrieval-augmented generation (RAG) process in the assistant, and implementing a Web API using FastAPI to expose the assistant. Along the way, learn how to identify harmful content with the Moderations API, and create and use a GPT as a front end to invoke the service and test your KinderLogger project.
Exercise Files on GitHub
More Info
