๐ง๐ต๐ฒ ๐ฟ๐ฒ๐ฎ๐น ๐๐ ๐ฎ๐ฑ๐๐ฎ๐ป๐๐ฎ๐ด๐ฒ ๐บ๐ฎ๐ ๐ฏ๐ฒ ๐ฟ๐ผ๐๐๐ถ๐ป๐ด, ๐ป๐ผ๐ ๐ท๐๐๐ ๐บ๐ผ๐ฑ๐ฒ๐น ๐ฝ๐ผ๐๐ฒ๐ฟ.
A simple extraction task doesnโt need the same worker as a complex research problem.
With a multi model architecture, an agent can route based on the actual requirement:
๐ Simple extraction โ lightweight model
๐ Huge context โ long context model
๐ง Complex reasoning โ advanced reasoning model
๐ผ๏ธ Visual analysis โ multimodal model
This becomes even more important when agents can interact with tools and financial systems.
The system should clearly define:
Which model can think?
Which tool can act?
Which wallet can spend?
Which credential can connect them?
Those boundaries should be enforced by the application, not left to the model.
The future isnโt necessarily one model doing everything.
Itโs specialised models working together under clear rules.
#TRONEcoStar @Justin Sunๅญๅฎๆจ #BAI
A simple extraction task doesnโt need the same worker as a complex research problem.
With a multi model architecture, an agent can route based on the actual requirement:
๐ Simple extraction โ lightweight model
๐ Huge context โ long context model
๐ง Complex reasoning โ advanced reasoning model
๐ผ๏ธ Visual analysis โ multimodal model
This becomes even more important when agents can interact with tools and financial systems.
The system should clearly define:
Which model can think?
Which tool can act?
Which wallet can spend?
Which credential can connect them?
Those boundaries should be enforced by the application, not left to the model.
The future isnโt necessarily one model doing everything.
Itโs specialised models working together under clear rules.
#TRONEcoStar @Justin Sunๅญๅฎๆจ #BAI