Problem: Getting insights from sensitive data while keeping individual privacy is tricky.
Solution: Differential privacy is a mathematical concept that allows for the analysis of sensitive datasets while protecting the privacy of individuals.
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.