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The first of three panel discussions focused on artificial intelligence at the 10th annual East Meets West Conference, held at Prince Hawaii Hotel on March 15, 2024. I was honored to serve as moderator with Rep. Trish La Chica, Olin Lagon, and Ryley Higa, Photos courtesy Blue Startups.
The first of three panel discussions focused on artificial intelligence at the 10th annual East Meets West Conference, held at Prince Hawaii Hotel on March 15, 2024. I was honored to serve as moderator with Rep. Trish La Chica, Olin Lagon, and Ryley Higa, Photos courtesy Blue Startups.
A lot of entrepreneurs understand the importance of quality and contextual training data for their modules and the difference it could bring to final outcomes and results. However, what stands in their way is budget - this is the factor that prevents them from going for outsourced, or 3rd party training data vendors and resorting to their own efforts in sourcing data. In the blog, we will explore why you shouldn’t opt for public data resources for the challenges they could pose, and the consequences they could bring in.
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I think that AI image generation is similar in many ways to photography. The camera itself handles all the fine details, but the photographer is in charge of curating the types of images that will be created.
Ultimately, it is all about maximizing the probability that something good will be created.
This is very similar to AI image generation, in terms of the skills involved and what the human does vs. what the machine does.
You can't compare AI image generation to the process of actually making these images from scratch with 3D software or paint/pencils, where the human controls every detail.
However, I think the process really is very similar to that of photography, as I made the case for above. I think that DALL-E 3 is by far the most powerful AI image generation tool currently available.
- Josh