Released 3/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 59m | Size: 146 MB
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.
Homepage
https://anonymz.com/?https://www.linkedin.com/learning/hands-on-openai-api-building-a-real-world-solution