Why Companies Are Betting on Small AI Models

The AI race has been dominated by large language models that run in the cloud, but recently everyone from Apple and Microsoft to Google and Meta are increasingly releasing small models, too. Small language models can run on personal computing devices and are faster and less expensive to run than their bigger, cloud-based counterparts. Join our panel of AI developers to discuss advancements, including quantization, that made small models possible; what app developers will be able to do with them and what tools should they use; how fast these models are improving; and how industries including healthcare, education or finance will use these models instead of cloud-based ones?