So, with OpenAI’s ChatGPT models seeming to lead the way these days for most usecases in generative AI, I went looking for useful developer tools to include these APIs. With Microsoft’s support for OpenAI, the obvious choice was the MS Azure AI Studio .
Project Creation
AI Studio groups your work into a hub, which contains projects, which then each hold resources such as Search, Computer Vision, Models, etc. Firstly, I created a new Project:
Chat Model Deployment
I didn’t have credits to use OpenAI models, so deployed a Meta Llama model instead.
Unfortunately, that failed:
Probably due to lack of credits prepaid into my account.
Image Generation
I had more luck when trying the DALL-E 2 playground:
Conclusions
Overall, I didn’t have much time to play with this AI Studio. Seems more intuitive and useful than AWS Sagemker in my experience. I’ll have to explore more in the future…
More in this series…
- Google Gemini - Google Gemini
- Anthropic Claude - Anthropic Claude
- Llama 3 - Llama 3
- ChatGPT 4o - ChatGPT 4o
- Anthropic Claude in Canada - Anthropic Claude in Canada
- LLMs on Android - AI in your pocket
- Google Imagen3 - AI Image Generation