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Bring together the world’s leading artificial intelligence tools to help improve work efficiency
Important milestone
2004 – Built scalable systems underpinning modern cloud.
2015 – Released Google’s deep-learning framework.
2023 – Leading the development of Gemini 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
Legendary engineer at Google. Led development of MapReduce, BigTable, and TensorFlow. Now he leads the development of DeepMind’s Gemini and large-scale AI systems.
