The language models powering modern AI tools have a much longer history than most people realise.
AI systems called large language models , like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new technological era. And they may indeed have significant impacts on how we live and work in future.
Language models are designed to estimate how likely it would be to see a particular sequence of words However, this meant that they often struggled to represent the connection between words that occurred far apart. This could result in the start and end of a sentence not matching up when the language model was used to generate a sentence.– AI systems that are modelled on the way the human brain works. These language models are able to represent connections between words that may not be close together.
More importantly, words in the training documents have to be processed in sequence to learn appropriate values for the network’s parameters. This limits how quickly the network can be trained.and avoided these problems by processing all the words in the input at the same time. This allowed them to be trained in parallel, meaning that the calculations required can be spread across multiple computers to be carried out at the same time.
The use of transformers has allowed the development of modern large language models. They are in part referred to as large because they are trained using vastly more text examples than previous models.. It would take an adult reading at average speed more than 7 600 years to read that much. These models are also based on very large neural networks, some with more than 100 billion parameters.
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