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GPT Generative Pre-trained Transformer
GPT, or « Generative Pre-trained Transformer, » is an artificial intelligence language model that employs a neural network architecture called Transformer. It is pretrained on extensive sets of textual data and is capable of generating text in a contextual and coherent manner. GPT was developed by OpenAI, and its initial version, GPT-1, was released in June 2018.
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Conditional Generation
Producing content based on specific input. Conditional generation in generative AI involves producing content based on specific input or conditions. It allows for fine-tuning generated output. Conditional generation is useful for tailoring generated content to meet specific requirements.
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Bias in AI
Unfair outcomes due to biased training data. Bias in AI refers to the unfair or discriminatory outcomes that may result from training data. It’s a critical concern in generative AI as it can lead to biased content generation. Addressing bias in AI is essential for ensuring that generative models produce fair and inclusive content.
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Multi-Modal Generative AI
Models that generate content in multiple modalities. Multi-modal generative AI refers to models capable of generating content in multiple modalities, such as text, images, and audio simultaneously or in coordination. Multi-modal generative AI is essential for creating rich and immersive generative experiences across various mediums.
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Adversarial Networks (GANs)
Two networks in competition to generate data. GANs are a class of generative AI models that consist of two networks, a generator and a discriminator, engaged in a competitive learning process. They are used to generate realistic data, such as images and text. GANs are instrumental in creating high-quality generative content and have applications in
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Neural network
Neural networks stand as the backbone of generative AI, enabling machines to emulate human-like creativity and produce text, code, images, and even music. These sophisticated algorithms mimic the interconnectedness of neurons in the human brain, processing and analyzing vast amounts of data to generate new outputs. The Transformer: A Breakthrough Architecture for Generative AI At
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Natural Language Processing (NLP)
Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on understanding and manipulating human language through computers. It encompasses a set of techniques aimed at enabling machines to comprehend, interpret, and generate natural language, such as that used by humans in written and spoken communication. The term « Natural Language Processing » was first