2021 BRN Discussion, page-21208

https://www.electropages.com/blog/2021/09/thinking-human-something-ai-will-never-learn

According to specialists in ultra-low power high-performance artificial intelligence technology, BrainChip, transfer learning utilises knowledge established in a previously trained AI model, which is then integrated to form the basis of a new model. After taking this shortcut of using a pre-trained model, such as an open-source image or NLP dataset, new objects can be added to customise the result for the particular scenario.However, BrainChip feels a potential weakness in this learning system is the possibility of inaccuracy.

Fine-tuning the pre-trained model requires large amounts of task-specific data to add new weights or data points. It requires working with layers in the pre-trained model to get to where it has value for creating the new model. It may also require more specialised machine-learning skills, tools, and service vendors.