Two things in AI caught my attention today.
First, Sovereign AI , when our data, prompts, workflows and actions pass through external model providers, the question is no longer just which model is the smartest. It is also about who controls the data, infrastructure and intelligence behind our operations.
Second, model distillation , Chinese AI giants are showing that smaller, specialised models can be distilled from frontier models and still achieve highly competitive capabilities against leading US models.
These two developments make me even more confident that we are on the right path.
We are building our own Agentic AI architecture, while also developing distilled LLMs using our own operational data and SME use cases.
The goal is not simply to chase the biggest model.
It is to build AI that is more sovereign, specialised, efficient and practical for real SME operations.
That is the direction we believe in.
#SovereignAI #AgenticAI #LLM #ModelDistillation #AIInfrastructure #SME #AINNA #ArtificialIntelligence
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La parte de esta parte me hizo pensar un rato.
Tulisan yang bagus. topik ini sahaja dah berbaloi.
You can tell the writer actually worked on infrastructure and intelligence behind our.
infrastructure and intelligence behind our is what I would forward to my boss.
Berbaloi baca sebab penjelasan ini.
这篇文章读起来很清楚，也容易跟着理解。