Episode 21: Computer Vision with Copilot

https://aka.ms/cap4copilot

Here's a summary of the video:

• Introduction (2:47-3:00): The video introduces a session on Copilot adoption practices, focusing on AI's ability to "see" and its applications using prompts.

• Rummikub Example (4:15-8:12): The host shares a personal anecdote about using Copilot to analyze a Rummikub game, demonstrating Copilot's ability to understand the game's rules and suggest moves based on uploaded images of the board and the player's hand.

• Image Manipulation and Computer Vision (8:12-10:00): The discussion transitions to image manipulation with AI, noting the limitations and responsible AI considerations, particularly around faces.

• Real-World Image Analysis (10:00-14:16): The host explains use cases where Copilot analyzes images from the real world, such as nutrition labels and handwritten grocery lists, to extract information and provide helpful insights.

• Process Improvement (14:16-16:01): The video explores using Copilot to improve processes by analyzing diagrams, summarizing them, and suggesting improvements.

• Mind Map Analysis (16:46-19:43): Copilot's ability to understand and extract information from a handwritten mind map is showcased, including identifying the central theme and key points.

• Conclusion (19:43-22:41): The host summarizes the capabilities of Copilot, emphasizing its ability to read, understand, and reason from images, encouraging viewers to explore creative applications. The host also touches on the different capabilities of different Copilot licenses.