May 14, 2024, 5:54 a.m. | John McBride

DEV Community dev.to

When you first start building AI applications with generative AI, you'll likely end up using OpenAI's API at some point in your project's journey. And for good reason! Their API is well-structured, fast, and supported by great libraries. At a small scale or when you’re just getting started, using OpenAI can be relatively economical. There’s also a huge amount of really great educational material out there that walks you through the process of building AI applications and understanding complex techniques …

ai ai applications ai technologies api applications building cost devops generative good journey kubernetes libraries low openai open source opensource project reason scale small technologies

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Technical Program Manager, Expert AI Trainer Acquisition & Engagement

@ OpenAI | San Francisco, CA

Director, Data Engineering

@ PatientPoint | Cincinnati, Ohio, United States