Earlier in my post I had written about visual models and memory retention aspects. Granualarizing that an agent to be created which perform below:
- Create a playground to inject patterns such as location, places, actions etc..
- Start training the model which is specific to an entity
- Embed the sequences to an agent
- Retain the memory long terms using external or specific device
This need to be part of a lens or a watch or an earpiece that can guide the people effectively using their aspects and the environment factors etc..
This is a theoratical aspect for SLMs as micromodels that can engage memorize and guide accordingly.
As a policy regulization, it needs to be limited to the person who use it not exposed to public. It’s like models residing on specific devices and customized for you.
Such MicroModels will evolve as Visual Models on a larger scale that can be tuned for an impact a change can produce to city, human, planet etc.. These can help in decision making effective.
Consider the government wants to build a bridge, tunnel, or any. These visual models help to align that goal if invested. Does it really help people or not..
More on others soon…
Thoughts Map 