Since the launch of the Gemini 2.0 Flash model family, developers are discovering new use cases for this highly efficient family of models. Gemini 2.0 Flash offers stronger performance over 1.5 Flash and 1.5 Pro, plus simplified pricing that makes our 1 million token context window more affordable. Today, Gemini 2.0 Flash-Lite is now generally…
For a deeper dive into the technical details behind these capabilities, as well as a comprehensive overview of our approach to responsible development, refer to the Gemma 3 technical report. Rigorous safety protocols to build Gemma 3 responsibly We believe open models require careful risk assessment, and our approach balances innovation with safety – tailoring…
In December we first introduced native image output in Gemini 2.0 Flash to trusted testers. Today, we’re making it available for developer experimentation across all regions currently supported by Google AI Studio. You can test this new capability using an experimental version of Gemini 2.0 Flash (gemini-2.0-flash-exp) in Google AI Studio and via the Gemini…
Responsibly advancing AI and robotics As we explore the continuing potential of AI and robotics, we’re taking a layered, holistic approach to addressing safety in our research, from low-level motor control to high-level semantic understanding. The physical safety of robots and the people around them is a longstanding, foundational concern in the science of robotics….
Last updated March 26 Today we’re introducing Gemini 2.5, our most intelligent AI model. Our first 2.5 release is an experimental version of 2.5 Pro, which is state-of-the-art on a wide range of benchmarks and debuts at #1 on LMArena by a significant margin. Gemini 2.5 models are thinking models, capable of reasoning through their…
kettle It’s a week of the year, which means there’s been the discovery of yet another prompt injection attack that will force supposedly well-guarded AI bots to spill secrets by asking the right way. When you think about it, humans and LLMs share a similar problem: They’re both liable to hand over sensitive information when…
Artificial intelligence (AI) has long been a cornerstone of cybersecurity. From malware detection to network traffic analysis, predictive machine learning models and other narrow AI applications have been used in cybersecurity for decades. As we move closer to artificial general intelligence (AGI), AI’s potential to automate defenses and fix vulnerabilities becomes even more powerful. But…
Understanding and addressing the potential for misuse Misuse occurs when a human deliberately uses an AI system for harmful purposes. Improved insight into present-day harms and mitigations continues to enhance our understanding of longer-term severe harms and how to prevent them. For instance, misuse of present-day generative AI includes producing harmful content or spreading inaccurate…
Sharing DolphinGemma with the research community Recognizing the value of collaboration in scientific discovery, we’re planning to share DolphinGemma as an open model this summer. While trained on Atlantic spotted dolphin sounds, we anticipate its potential utility for researchers studying other cetacean species, like bottlenose or spinner dolphins. Fine-tuning may be required for different species’…
Starting today, Gemini Advanced users can generate and share videos using our state-of-the-art video model, Veo 2. In Gemini, you can now translate text-based prompts into dynamic videos. Google Labs is also making Veo 2 available through Whisk, a generative AI experiment that allows you to create new images using both text and image prompts,…