This content originally appeared on DEV Community and was authored by Jimmy Guerrero
In the rapidly evolving landscape of artificial intelligence, the emergence of Generative AI (GenAI) marks a transformative shift in the field. But can too fast of an adoption lead to some costly mistakes? In this talk, we’ll delve into the pivotal role GenAI will play in the future of computer vision use cases. Through an exploration of image datasets and latest diffusion models, we will use FiftyOne – the open source data management tool for visual datasets – to demonstrate the leading ways GenAI is being adopted into computer vision workflows. We will also address concerns about how GenAI can potentially poison data, emphasizing the importance of vigilant data curation to ensure dependable and remarkable datasets.
About the Speaker
Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes. Daniel’s extensive experience in teaching and developing within the ML field has fueled his commitment to democratizing high-quality AI workflows for a wider audience.
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Recorded on July 3, 2024 at the AI, Machine Learning and Computer Vision Meetup.
This content originally appeared on DEV Community and was authored by Jimmy Guerrero
Jimmy Guerrero | Sciencx (2024-07-05T18:20:40+00:00) Computer Vision Meetup: Deep Dive into Responsible and Unbiased GenAI. Retrieved from https://www.scien.cx/2024/07/05/computer-vision-meetup-deep-dive-into-responsible-and-unbiased-genai/
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