👉 Microsoft's Prompt Flow aims to improve the AI development cycle with its ability to create executable flows visually. It allows for rapid iteration in a team, including the ability to test multiple versions of your prompts with evaluation flows. In the 🎬 video below, I take a look at how Prompt Flow works by creating a flow that can search for images and embedding that flow in a Python front-end application built with Streamlit. Imho, Prompt Flow works best in the early design and testing stages. Although you can deploy flows to the cloud or as a container, we typically do not host flows for production purposes. #azure #ai #llm #promptflow https://lnkd.in/es3HqR2e
The fast path to creating and using LLM flows in your apps
https://www.youtube.com/
Bart Vermeersch
9mo
Merci voor de Meetup hierover gisteren!
Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
9moThe evolution of tools like Prompt Flow for visualizing AI development cycles is reminiscent of earlier advancements in collaborative software development. Considering the iterative nature, do you foresee Prompt Flow integrating with version control systems, enabling more seamless collaboration in larger development teams? How might this tool adapt to accommodate the complexities of real-time collaboration, especially in scenarios where rapid iteration is crucial for refining prompt models?