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The EmotionAI technology that is used at Cogito was first validated by assisting healthcare providers to detect early signs of PTSD and other mental health disorders in soldiers returning from combat. We are consistently working on and evolving our NLPs with new data to mitigate bias.
There are essentially two main methods of AI generation: Generative Adversarial Networks (GANs): GANs use a generator (learn to produce examples) and discriminator (distinguish between classes) architecture to create realistic images, music, and other things. Why is Detecting AI-Generated Content Important?
Large Language Models (LLMs): These models are the breakthrough in the space of natural language processing (NLP), empowering machines to understand and generate human-like language. Sometimes AI-generated voices can sound overly melodic lacking the variations and nuances found in speech. Pay attention to the melody of the voice.
ML algorithms working with the past data and patterns of the users try to anticipate what the next action would be. Recognition of EmotionsAI algorithms can further consider multiple inputs from the user such as facial expressions, voice tone, and even body biomarkers to give a general feeling of the user.
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