Generative AI-based System
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A Generative AI-based System is an AI system that is based on a GenAI algorithms.
- Context:
- It can use advanced machine learning models, such as GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers), to understand and generate human-like language.
- It can perform tasks in various domains, from natural language processing for text generation to computer vision for generating images.
- It can adapt to specialized applications by fine-tuning on specific datasets, making it useful in sectors such as healthcare, finance, education, and creative industries.
- It can operate in interactive applications, such as virtual assistants and chatbots, providing dynamic responses and user interactions.
- It can involve ethical considerations, especially regarding data privacy, bias in AI, and the implications of automated content generation.
- It can be integrated into software solutions to automate content creation, analysis, or decision support, enhancing productivity in business and research contexts.
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- Example(s):
- A GenAI-based Content Generation System for marketing, which uses a generative AI model to produce blog posts, social media updates, or product descriptions.
- An GenAI-based Image synthesis System that uses a generative model to create realistic images for digital design or entertainment.
- A GenAI-based Medical Diagnosis Assistant that generates potential diagnosis summaries by analyzing patient data in conjunction with medical literature.
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- Counter-Example(s):
- A rule-based system that relies on predefined instructions rather than learning from data to generate new outputs.
- A traditional AI model like a classification model that assigns labels to inputs rather than generating new content.
- See: GenAI Engineer, ML-based System, Transformer Model, NLP-based System, STD 1000.