Problem: Advancements in semantic understanding of unstructured data created a treasure trove of meaningful data. But traditional databases cannot efficiently store and query them. Solution: Vector databases specialize in storing high-dimensional vectors, providing efficient querying mechanisms.
Problem: Creating art by hand is hard, and using closed-source generative art is only open to a minority group. Solution: An open-source version of DALL-E that generates images automatically from text prompts, which you can run at home.
Problem: Computers can’t perform natural language tasks easily. Solution: Train deep neural networks at scale, so they could simulate a human-like understanding of textual problems.