AlphaCode was the first AI to write code at a human level in competitive programming. 🛠 Using a specialized version of Gemini, we created AlphaCode 2, which excels on this task. We estimate it performs better than 85% of participants on 12 recent Codeforces contests. ↓

We’re excited to announce 𝗚𝗲𝗺𝗶𝗻𝗶: @Google’s largest and most capable AI model. Built to be natively multimodal, it can understand and operate across text, code, audio, image and video - and achieves state-of-the-art performance across many tasks. 🧵

We’ve optimized Gemini 1.0 for three different sizes, meaning it can run on everything from data centers to mobile phones. 🔨 1️⃣ Ultra: our largest one for highly complex tasks 2️⃣ Pro: our best one for scaling across many tasks 3️⃣ Nano: our most efficient one for devices

Gemini Ultra outperforms human experts on MMLU (massive multitask language understanding): one of the most popular methods of benchmarking AI models. It involves a combination of 57 test subjects from math to history to law and more. ↓

Gemini is also one of the world’s leading foundation models for coding. It can understand, explain, and generate high-quality code in programming languages like Python, Java, C++, and Go.

As Gemini is natively multimodal, it better understands nuanced information and can answer questions relating to complicated topics. This makes it especially good at explaining reasoning in subjects like math and physics - which could be helpful when it comes to homework. ↓

@RemiLeblond @codeforces Congrats @RemiLeblond 👏

@codeforces are there api or how it's reachable?

@codeforces Sound's alarming 😬

Using a specialized version of Gemini, THEY created Alpha code 2, which excels on this task

@codeforces now thats some hyped up stuff, ask it to participate in a real contest

@codeforces These 15% will save earth from these AIs

@codeforces Gimana tanggapannya nih gan @DeeGeeDow

@codeforces