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A generative AI system is constructed by applying unsupervised machine learning (invoking for instance neural network architectures such as GANs, VAE, Transformer, ...) or self-supervised machine learning to a data set. The capabilities of a generative AI system depend on the modality or type of the data set used.
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence. [1][2] The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [3] In a GAN, two neural networks contest with each other in the form of a zero-sum game ...
ChatGPT is a generative artificial intelligence (AI) chatbot [2] [3] developed by OpenAI and launched in 2022. It is based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses, and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [4]
Don't be surprised if your future coworker is an AI. Nvidia CEO Jensen Huang recently talked about why he thinks we'll all be working alongside "AI employees" eventually. "There's no question we ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Perplexity AI is a conversational search engine that uses large language models (LLMs) to answer queries. Its developer, Perplexity AI, Inc., is based in San Francisco, California. Founded in 2022, Perplexity generates answers using sources from the web and cites links within the text response. [3] Perplexity works on a freemium model; the free ...
LangChain.com. LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.
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