Generative AI, a branch of artificial intelligence, focuses on creating new content by learning patterns from existing data. Unlike predictive AI, which forecasts outcomes based on input data, generative AI produces new data that resembles the input data, offering groundbreaking capabilities in various fields like art, music, and natural language processing.
Generative AI applications are diverse and impactful. Some notable examples include:
These examples illustrate how generative AI is pushing the boundaries of creativity and automation.
Several tools harness the power of generative AI:
These tools are transforming industries by automating tasks and enhancing creative workflows.
Google is at the forefront of generative AI research and application. Projects like DeepDream and AI-powered tools in Google Photos showcase Google's commitment to advancing this technology. Additionally, Google’s research on Transformer models has significantly influenced the development of generative AI models like GPT-4o.
ChatGPT, developed by OpenAI, is a prime example of generative AI in action. It uses the GPT-4o model to generate human-like text based on input prompts. ChatGPT is widely used for applications like customer service, virtual assistance, and content creation, demonstrating the practical utility of generative AI.