While large language models like ChatGPT are expensive to run, these smaller AI models, often referred to as TinyML, can run at a low cost and be used in everyday devices for specific tasks such as facial recognition and hearing aid devices. The team is focused on creating these tiny AIs and believes that in the future, large and small AI models will collaborate to build a complete intelligence ecosystem.
Key takeaways:
- Large AI models, like the one that ChatGPT runs on, are now capable of creating smaller AI tools without human intervention, according to a team of scientists from MIT, several University of California campuses, and AI technology company Aizip.
- These smaller AI models, often referred to as TinyML, are low-cost and can be used for specific tasks in a variety of applications, including facial recognition, hearing aid devices, and home appliances.
- The team is focused on creating these tiny AIs and says that the design process can now automatically be done by more intelligent AI, with the aim of building a complete intelligence eco-system.
- Microsoft, in partnership with OpenAI, has also been developing small but powerful AI models that could potentially rival ChatGPT.