List of Flash News about Google AI Studio
Time | Details |
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2025-03-25 17:08 |
2.5 Pro Model Available for Gemini Advanced Users and on Google Cloud Vertex AI
According to Google DeepMind, the 2.5 Pro model is now available for advanced users in the GeminiApp, allowing selection from the model dropdown on both desktop and mobile platforms. This advancement can potentially enhance trading strategies by offering more sophisticated analysis tools. Furthermore, the model will soon be accessible on Google Cloud's Vertex AI platform, enabling developers and enterprises to experiment with it in Google AI Studio, potentially leading to more robust trading algorithms. |
2025-03-12 18:52 |
Google DeepMind Introduces Native Image Generation with Gemini 2.0 Flash Experimental
According to @GoogleDeepMind, the introduction of native image generation with Gemini 2.0 Flash Experimental marks a significant advancement in AI technology. This feature is now available for trial in @Google AI Studio, potentially impacting the development of AI-driven applications and services. |
2025-02-25 18:02 |
Gemini 2.0 Flash-Lite: Enhanced Performance for Developers
According to @GoogleDeepMind, developers can now utilize Gemini 2.0 Flash-Lite through Google AI Studio and GoogleCloud's VertexAI, offering improved performance in reasoning, multimodal, math, and factuality benchmarks. |
2025-02-05 16:12 |
2.0 Pro Experimental Launches for Developers in Google AI Studio and Gemini App Users
According to Google DeepMind, the 2.0 Pro Experimental version is now accessible to developers using Google AI Studio and Google Cloud's Vertex AI, as well as Gemini App Advanced users. This rollout could impact trading strategies by providing advanced AI tools for data analysis and forecasting. |
2025-02-05 16:12 |
Gemini 2.0 Release Boosts AI Trading Capabilities
According to @GoogleDeepMind, the release of Gemini 2.0 enhances AI trading tools available in @Google AI Studio and @GoogleCloud’s #VertexAI, introducing advanced features such as the 2.0 Flash model and the cost-efficient 2.0 Flash-Lite, which could optimize algorithmic trading strategies. |