Generative AI (also known as GenAI or gen AI) is a field of artificial intelligence (AI) that focuses on creating new content, such as images, text, audio, and code. Unlike other AI systems designed to recognize patterns and make predictions, generative AI models learn from input training data and generate new data with similar characteristics.
Generative AI models are large enough to introduce the ability to understand and generate natural language. Depending on the data the models are trained on, these models can understand and generate content from multiple modalities, including text and images. Models that work with multiple modalities of data are called multimodal models.
Vertex AI on Google Distributed Cloud (GDC) air-gapped offers various foundational Generative AI models from Google for use in your distributed workloads and applications without the need for connectivity to Google Cloud.
Applications of Generative AI
Generative AI on GDC has a wide range of potential applications across various industries, including the following:
- Multimodal information understanding: Generate written content from text, code, images, audio, and video inputs for a wide range of tasks such as text classification, image captioning, video summarization, and audio transcription.
- Long-context understanding: Comprehend large amounts of text with a context window of up to 32,000 tokens for tasks such as processing long documents, thousands of lines of code, and hours of audio or video.
- Multilingual support: Understand more than 100 languages to enable the global community to prompt and receive responses.
- Optimized inferencing performance: Meet the latency and scale demands of enterprise-scale AI applications.
- Secure and compliant data handling: Use APIs fully on premises to meet the most stringent regulatory requirements.