Think Different

  #DataGemma  is an experimental set of #open #models designed to ground responses in #realworld #statistical #data from numerous #public #sources ranging from census and health bureaus to the #UN , resulting in more factual and trustworthy AI. By integrating with Google ’s #Data Commons, DataGemma’s early research advancements attempt to address the issue of #hallucination—a key challenge faced by language models #llm . What is the Data Commons? Google Data Commons: A Knowledge Graph for Public Data Google Data Commons is a public knowledge graph that integrates and harmonizes data from various sources, making it easier to explore and analyze. It's designed to provide a unified view of the world's information, enabling users to discover insights and trends across different domains. Key Features and Benefits: Unified Dataset: Data Commons combines data from over 200 sources, including government statistics, academic research, and private sector data. This creates a ...

  unplush Generative AI models, such as generative adversarial networks (GANs) or autoregressive models, learn from large datasets and use the learned patterns to generate new and realistic content. These models have the ability to generate text, images, or other forms of data that possess similar characteristics to the training data. Generative AI has found applications in various fields, including creative arts, content generation, virtual reality, data augmentation, and more. Few examples of how generative AI is applied in different domains: 1. Text Generation: Generative AI models can be used to generate creative and coherent text, such as writing stories, poems, or articles. They can also assist in chatbot development, where they generate responses based on user inputs. 2. Image Synthesis: Generative AI models like GANs can create realistic images from scratch or transform existing images into new forms, such as generating photorealistic faces or creating artistic interpretati...