List of AI News about low latency AI
Time | Details |
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2025-10-07 21:03 |
Gemini 2.5 Computer Use Model Sets New AI Benchmark for Web Interaction and Low Latency
According to Sundar Pichai, the new Gemini 2.5 Computer Use model is now available in the Gemini API and has established a new standard across multiple AI benchmarks with improved low latency. The model’s standout feature is its advanced ability to interact with web elements such as scrolling, filling forms, and navigating dropdown menus, signaling a significant step toward developing general-purpose AI agents. Developers can access and test these advanced capabilities via API on Google AI Studio and Vertex AI, opening new business opportunities for automation and productivity tools (Source: Sundar Pichai on Twitter, Oct 7, 2025). |
2025-06-17 19:10 |
Google Launches Gemini 2.5 Pro and Flash AI Models with Long-Term Support and Affordable Flash Lite Preview
According to Jeff Dean, Google's Gemini 2.5 Pro and 2.5 Flash AI models are now generally available, offering long-term support commitments without model changes (source: @JeffDean, June 17, 2025). This move allows enterprises to deploy advanced AI solutions with stability and confidence in long-term planning. Additionally, Google introduced a preview of the Gemini 2.5 Flash Lite model, which is optimized for ultra-low latency and cost-efficiency, targeting high-volume, real-time business applications. These releases highlight Google's focus on robust, scalable AI infrastructure and open new business opportunities in real-time data processing, conversational AI, and cost-sensitive deployment scenarios (source: @JeffDean, June 17, 2025). |
2025-06-17 16:02 |
Google DeepMind Unveils 2.5 Flash-Lite: Most Cost-Efficient AI Model with Improved Latency and Quality
According to Google DeepMind, the newly released 2.5 Flash-Lite model is their most cost-efficient AI yet, offering lower latency compared to both 2.0 Flash-Lite and Flash across a wide range of prompts. The model demonstrates superior performance in coding, mathematics, science, reasoning, and multimodal benchmarks when compared to the previous 2.0 Flash-Lite version. This advancement is expected to drive adoption of generative AI in cost-sensitive business environments, enabling broader AI integration into enterprise operations, research, and product development (source: Google DeepMind, Twitter, June 17, 2025). |