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Google launches Gemini 2.0 Pro, Flash-Lite and connects reasoning model Flash Thinking to YouTube, Maps and Search
A whole new range of AI-powered research and interactions that simply can't be matched by DeepSeek and OpenAI.
I tried it briefly on the Google Gemini iOS app on my iPhone while writing this piece, and it was impressive based on my initial queries, thinking through the commonalities of the top 10 most popular YouTube videos of the last month and also providing me a table of nearby doctors’ offices and opening/closing hours, all within seconds. One major benefit over the competition is in its context window, or the number of tokens that the user can add in the form of a prompt and receive back in one back-and-forth interaction with an LLM-powered chatbot or application programming interface. Google DeepMind states that Flash-Lite outperforms its full-size (larger parameter-count) predecessor, Gemini 1.5 Flash, on third-party benchmarks such as MMLU Pro (77.6% vs. 67.3%) and Bird SQL programming (57.4% vs. 45.6%), while maintaining the same pricing and speed.
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