Curious how it works? Check out this demo where the model solves a tricky probability problem.

We’ve been *thinking* about how to improve model reasoning and explainability Introducing Gemini 2.0 Flash Thinking, an experimental model trained to think out loud, leading to stronger reasoning performance. Excited to get this first model into the hands of developers to try out!

Try it out for yourself via the Gemini API in Google AI Studio and Vertex AI.

No more out-of-memory errors! SwarmOne automatically selects the ideal GPU configurations for your specific AI workloads.

🍓🍓🍓

Ok but why would we want it to do it this way when it’s so much faster to calculate the number of permutations? Maybe better for more complex examples, e.g., I’d love to see it work through a real analysis proof if you wouldn’t mind testing it out? Looks promising for theory!

No hiding of CoT tokens?

In my opinion, it took too long to compute that - ChatGPT Is comparitively faster

okey bro whats the ca

He is not ready for these problems yet… I gave him a descriptive statistics problem with 60 data and he failed reading only 48 and even had some differences in Excel… I also gave him a linear regression problem and he failed a lot even when I pointed out his error and attached

It is fast! but I noticed it struggles with differentiating colors ( it should be orange, green, and purple). Hoping to see improvements in future updates.

I am still learning but Flash is a model ie a big brain? Is it like having a smart friend? Would it help me make a cat app for my friends and family?

Stocheastic parrot which produces nice sounding probabilities.