Industries updates

Google’s Super Bowl ad shows how Pixel’s Guided Frame helps blind or low vision people take great pictures or selfies.

One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern, we find pieces of reference content related to an input prompt by performing similarity searches on embeddings. Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Understanding and prioritizing resilience is crucial for generative AI workloads to meet organizational availability and business continuity requirements. In this post, we discuss the

Data is the foundation to capturing the maximum value from AI technology and solving business problems quickly. To unlock the potential of generative AI technologies, however, there’s a key prerequisite: your data needs to be appropriately prepared. In this post, we describe how use generative AI to update and scale your data pipeline using Amazon

We’re incorporating generative AI in Maps, to help you discover things to do. Select U.S. Local Guides begin testing the feature this week.

ImageFX, MusicFX and TextFX help you bring your most creative ideas to life with Google’s latest AI capabilities.

We’re rolling out Imagen 2, a major update to our image generation technology. Try it out today in Bard, Image FX, Search and Vertex AI.

We’re expanding Gemini Pro in Bard to all supported languages and bringing text-to-image generation into Bard.