The current boom of artificial intelligence (AI) is based on neural networks (NNs). In order for these to be useful, the network has to undergo a machine learning (ML) process: work over a series of inputs, and adjust the inner weights of the connections between neurons so that each of the data samples the network was trained on produces the right set of labels for each item. Federated learning (FL) appeared as a reaction given the data centralization power that traditional ML provides: instead of centrally controlling the whole training data, various different actors analyze disjoint subsets of data, and...
Gunnar Wolf - Nice grey life - page 2
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As people around the world understand how LLMs behave, more and more people wonder as to why these models hallucinate, and what can be done about to reduce it. This provocatively named article by Michael Townsen Hicks, James Humphries and Joe Slater bring is an excellent primer to better understanding how LLMs work and what to expect from them. As humans carrying out our relations using our language as the main tool, we are easily at awe with the apparent ease with which ChatGPT (the first widely available, and to this day probably the best known, LLM-based automated chatbot) simulates...
While artificial intelligence (AI) applications for natural language processing (NLP) are no longer something new or unexpected, nobody can deny the revolution and hype that started, in late 2022, with the announcement of the first public version of ChatGPT. By then, synthetic translation was well established and regularly used, many chatbots had started attending users’ requests on different websites, voice recognition personal assistants such as Alexa and Siri had been widely deployed, and complaints of news sites filling their space with AI-generated articles were already commonplace. However, the ease of prompting ChatGPT or other large language models (LLMs) and getting...
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