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Oriol Vinyals
Oriol Vinyals

Oriol Vinyals

Lead Scientist at Google DeepMind
Year of Birth  1983
Nationality  Spain

Important milestone

Co-authors Transformer

2017 – Helped publish the original “Attention is All You Need” paper.

AlphaStar success

2019 – Created AI that beat pro StarCraft II players.

Work on Gemini

2023 – Contributed to multimodal model development at DeepMind.

AI product

Gemini 1.5 Pro introduces a breakthrough context window of up to two million tokens — the longest context window of any large scale foundation model yet. It achieves near-perfect recall on long-context retrieval tasks across modalities, unlocking the ability to accurately process large-scale documents, thousands of lines of code, hours of audio, video, and more.

Gemini 2.5 Pro is a model released by Google DeepMind artificial intelligence research team, using version number Gemini-2.5-Pro-Preview-05-06.

Gemini 2.0 Flash builds on the performance of Gemini 1.5 Flash, introducing multimodal input/output support (including images, video, audio, and text), along with real-time functionalities such as steerable text-to-speech and native image generation. The specific version being used is Gemini-2.0-Flash-001.

Gemini 1.5 Pro introduces a breakthrough context window of up to two million tokens — the longest context window of any large scale foundation model yet. It achieves near-perfect recall on long-context retrieval tasks across modalities, unlocking the ability to accurately process large-scale documents, thousands of lines of code, hours of audio, video, and more.

The Gemini 2.0 Pro model demonstrates superior capabilities in coding performance and handling complex instructions compared to any previous models, with a more accurate and deeper understanding and reasoning of world knowledge. The version being used is Gemini-2.0-Pro-Exp-02-05.

Personal Profile

Oriol Vinyals is known for his contributions to the Transformer architecture and AlphaStar, a competitive StarCraft II AI—advancing multi-agent RL and sequence modeling.

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