How AI flood forecasting can help communities in need
A look at our collaboration with humanitarian organizations to use flood forecasting technology.
A look at our collaboration with humanitarian organizations to use flood forecasting technology.
A look at our collaboration with humanitarian organizations to use flood forecasting technology.
A look at our collaboration with humanitarian organizations to use flood forecasting technology.
A look at our collaboration with humanitarian organizations to use flood forecasting technology.
A look at our collaboration with humanitarian organizations to use flood forecasting technology.
A look at our collaboration with humanitarian organizations to use flood forecasting technology.
A look at our collaboration with humanitarian organizations to use flood forecasting technology.
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 …
Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart Read More »
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 …
Designing generative AI workloads for resilience Read More »