Also known as: GenAI or genAI · GenAI · Generative Artificial Intelligence · Generative AI · Generative AI (GenAI)
L’IA générative (GenAI) désigne des systèmes d’IA qui créent de nouveaux contenus, tels que du texte, des images, de l’audio, de la vidéo, du code ou d’autres médias, en réponse à des prompts ou à un contexte. Ces systèmes apprennent des schémas à partir de données d’entraînement et génèrent des sorties qui ressemblent aux types de contenus sur lesquels ils ont été entraînés ou les transforment.
An emerging transformative field with no formal definition. That said, most experts agree that generative AI models can create ("generate") content that is all of the following: - complex - coherent - original Examples of generative AI include: - Large language models, which can generate sophisticated original text and answer questions. - Image generation model, which can produce unique images. - Audio and music generation models, which can compose original music or generate realistic speech. - Video generation models, which can generate original videos. Some earlier technologies, including LSTMs and RNNs, can also generate original and coherent content. Some experts view these earlier technologies as generative AI, while others feel that true generative AI requires more complex output than those earlier technologies can produce. Contrast with predictive ML.
A type of AI that goes beyond the traditional AI focus on classification and prediction. Generative AI uses foundation models to generate new content like text, images, audio, or videos by learning the underlying patterns and style of the training data.
A side-by-side comparison of Generative AI and Large Language Model. Understand why generative AI is a broader content-producing category, while an LLM is a language-focused model type often used inside generative AI systems.
A side-by-side comparison of Generative AI and Artificial Intelligence. Understand why generative AI is a content-creating subset within the broader field of AI.