Gemini 2.5 Pro

Articles tagged Gemini 2.5 Pro on mistr.AI.

• Samsung Proved That Successful AI Doesn't Need Billions of Parameters — What if it turned out that size isn't what matters in artificial intelligence? Samsung has introduced the TRM model, which has only 7 million parameters, yet in complex reasoning tasks it has literally outperformed models that are ten thousand times larger. This breakthrough proves that efficient architecture can matter more than raw computing power. What approach did Samsung use, and what does it mean for the future of AI?
• How Implicit Caching in Gemini 2.5 Reduces AI Costs — Google has introduced a new "implicit caching" feature in its Gemini API that promises up to 75% cost savings when working with the latest AI models. What does this change mean for developers, why is it automatic, and how can it affect the future use of artificial intelligence?