![]() This allows researchers and engineers to generate coherent sentence about topics of their choosing. OpenAI researchers have described the GPT-2 model as “chameleon-like”, saying it adapts to the style and context of the conditioning text. GPT-2 is trained with the objective of predicting the next word, given all of the previous words within some text. In the original GPT-2, OpenAI used some 1.5 billion parameters on a text corpus with more than 40 gigabytes of internet data. GPT-2 requires a particularly large dataset for its algorithm to infer the intent of someone speaking to it or writing a question. Natural language processing models utilize a large collection of language samples to train a computer on the structure of the language, the meaning of words, and more. Kim Tae Yoon, conversational AI team leader, SK telecom Using AWS services such as Amazon Elastic Compute Cloud, Amazon Elastic Fabric Adaptor, and Amazon FSx for Lustre, the researchers built KoGPT-2 using a large Korean-language data set provided by SK telecom. In creating KoGPT-2, a team of deep-learning engineers from the Amazon Machine Learning (ML) Solutions Lab at AWS was paired with the Conversational AI Team from the SK telecom AI Center. It can be used for chatbots, search engines, and other purposes. KoGPT-2 is an open-source GPT-2 model pre-trained with Korean texts to improve machine learning (ML) performance in the Korean language. The GPT-2 model is similar to the next-word prediction on your smartphone keyboard, but much larger and more sophisticated. ![]() It was developed in 2019 by OpenAI, an AI research firm. GPT-2 is a language model that has been trained to predict – to “generate” – the completion of a sentence or a paragraph based on as little as a one-word prompt. In late April, Amazon announced that Korean mobile telecommunications company SK telecom, working with Amazon Web Services researchers, have released the first open-source, advanced Korean language Generative Pre-trained Transformer-2 (GPT-2) model, called KoGPT-2. All employment decisions are made without regard to race, color, gender, gender identity, gender expression, sexual orientation, religion (including religious dress and grooming practices), creed, sex (including pregnancy, childbirth, breastfeeding and related medical conditions), marital status, age, national origin, ancestry, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status or any other basis protected by the laws or regulations in the locations where we operate.But now Korean is part of the revolution in natural language processing, a branch of artificial intelligence that helps computers recognize and interpret human language. Legal.io is committed to the principle of equal opportunity.
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