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Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
In April 2023, Glean introduced its first enterprise-grade generative AI search capabilities, including Generative AI Answers. Glean also introduced Expert Search and In-Context Recommendations. [ 16 ] [ 17 ] AI Answers generates a single concise answer to a natural language query , drawing from various sources of content, context, and ...
The models can be used either online or locally by using generative AI user interfaces such as ComfyUI and Stable Diffusion WebUI Forge (a fork of Automatic1111 WebUI). [ 8 ] [ 24 ] An improved flagship model, Flux 1.1 Pro was released on 2 October 2024.
Runway AI, Inc. (also known as Runway and RunwayML) is an American company headquartered in New York City that specializes in generative artificial intelligence research and technologies. [1] The company is primarily focused on creating products and models for generating videos, images, and various multimedia content.
Generative AI tools like ChatGPT are great at replicating tones of voice, formats, and more. By providing examples of what you do and don't like in your prompt, you can get closer to your ideal ...
Generative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [ 2 ]
Aleph Alpha developed its own AI language model, named Luminous, based on its own research and codebase with the architecture of generative pre-trained transformers (GPT) with self-supervised learning. Next to the standard functionality all GPT models share, Aleph Alpha contributed some proprietary innovation:
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]
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