Releases

Google releases PaliGemma 2, expanding the open vision-language family with new model sizes and resolutions.

Google begins broad availability of Imagen 3 through ImageFX and later expands access through Gemini and Vertex AI.

Google releases ShieldGemma, open safety classifiers built on Gemma 2 for filtering model inputs and outputs.

Google releases Gemma 2, led by a 27B model with improved performance and efficiency.

Google introduces Imagen 3 with improved photorealism, prompt understanding and text rendering.

Google DeepMind introduces Veo, a high-definition generative video model with cinematic controls.

Google releases PaliGemma, an open vision-language model for image-text tasks.

Google expands Gemini 1.5 Pro to a two-million-token context window in private preview.

Google introduces Gemini 1.5 Flash, a fast and efficient multimodal model with a one-million-token context window.

Google DeepMind and Isomorphic Labs introduce AlphaFold 3 for predicting structures and interactions across biomolecules.

Google releases CodeGemma variants for code completion, code generation and instruction following.

Google releases Gemma 2B and 7B open models with weights and responsible AI tooling.

Google DeepMind introduces Gemini 1.5 Pro with a mixture-of-experts architecture and a one-million-token context window.

Gemini 1.0 Ultra becomes available to consumers through the new Gemini Advanced subscription.

Google makes Imagen 2 available to Cloud customers through Vertex AI for enterprise image generation.

Gemini 1.0 Nano launches for efficient on-device AI, initially on Pixel hardware.

Gemini 1.0 Pro launches in Bard and for developers as the balanced model in the initial family.

Google DeepMind launches Gemini 1.0 in Ultra, Pro and Nano sizes as its first natively multimodal foundation-model family.

Gemini 1.0 Ultra is introduced as the largest and most capable initial Gemini model.

Google DeepMind and YouTube introduce Lyria alongside experimental music-generation tools Dream Track and Music AI Tools.

Google launches PaLM 2, improving multilingual, reasoning and coding capabilities across Google products and Cloud.

DeepMind publishes AlphaFold 2's methodology and releases source code, expanding access to high-accuracy protein prediction.

Google introduces LaMDA as a conversational language model designed for open-ended dialogue.

Google open-sources BERT, enabling bidirectional pre-training for language understanding and downstream NLP tasks.

Google releases TensorFlow as an open-source machine-learning framework, making internal deep-learning infrastructure broadly available.