Transformers to understand and respond to queries

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For example, a music composition tool powered by an autoregressive model can generate new melodies. WaveNet is one example of an autoregressive model that generates raw audio waveforms, resulting in high-quality, natural-sounding speech. Transformers: Commonly used in natural language processing (NLP) tasks.


They include encoder and decoder layers, allowing the model to efficiently generate text strings or perform multilingual translation. For example, a multilingual chatbot uses in multiple languages. Large language models like OpenAI's GPT family of models and Google's Gemini model are examples of Transformers that can generate various creative texts.


Generative AI Model Classification Generative AI germany whatsapp number data models can generally be classified into: Unimodal models: Process input and generate output in the same method. For example, GPT-3 is a unimodal model that takes text input and produces text output.


Multimodal models: Process input from one method and produce output in another. For example, DALL-E is a multimodal model that generates images from text descriptions. Meta's ImageBind is another open-source multimodal AI model that handles diverse data types such as text, audio, images, and motion.