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Generative AI: ChatGPT

In this research guide, you will discover the inner workings of generative AI language models such as ChatGPT. You'll also gain insight into the history of AI, plagiarism, benefits and limitations of using AI, and how to use generative AI in the classroom

History of AI (Artificial Intelligence)

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Brief History of Artificial Intelligence: from Turing to Chat GPT

AI has a rich history that stretches back to the mid-20th century, when pioneers like Alan Turing, John McCarthy, Marvin Minsky, and Claude Shannon began exploring foundational concepts like artificial neural networks, machine learning, and symbolic reasoning. Over the years, AI research has gone through periods of waxing and waning, including the AI winter of the 1970s and 1980s, and the subsequent revival of machine learning algorithms in the 1990s. In recent years, deep learning algorithms have enabled computers to process and interpret complex data, leading to breakthroughs in fields like natural language processing and computer vision. The EU has also recognized the importance of ethics in AI and established a deadline of 2024 for companies to comply with new AI regulations. In 2022, the release of ChatGPT, a large language model trained by OpenAI, demonstrated the enormous potential of AI for transforming the way we communicate and interact with machines. In the years to come many models like the ones trained by OpenAI are going to find themselves integrated into more and more systems such as word processing software, search engines and many more.

Where to Read about the History of AI