Short for Generative Pre-Trained Transformer, Chat GPT is a type of Artificial Intelligence (AI) technology that allows users to talk with machines naturally. An artificially intelligent chatbot is a type of AI chatbot system similar to automated customer service chats seen on the Internet. The newest language model, Chat GPT, is Open AI (Altman, Musk, and other Silicon Valley investors created a nonprofit AI research organization in 2015) which is built and trained specifically for conversational engagement.
Most importantly, recent language models have demonstrated an ability to construct complicated Python code and produce university-level essays on demand, raising concerns that such technologies could likely displace human workers like journalists or programmers. The ability to produce text written by humans has led to suggestions that ChatGPT may be replacing journalists. The companys GPT-3 technology is able to generate human-like text, and has a broad set of applications including language translation, language modeling, and generating text for applications like chatbots.
Chat-based GPT could help employees learn faster and easier, since they can engage with the technology in a more conversational way compared to traditional training methods. While Chat GPT technology is a powerful tool to automate conversations, it is a long way from being able to substitute the creativity and interpersonal skills of humans. First, ChatGPT does not have the capability of really understanding the complexity of human speech and conversations.
Large language models such as ChatGPT are trained to produce text that is fluent and consistent, but may not always produce responses as nuanced or creative as the ones written by humans. Yes, there are certainly ethical concerns about building the ChatGPT and other text-generation programs, which are trained on massive amounts of text generated by human writers. ChatGPT is, in fact, a Large Language Model (or LLM), a kind of deep learning software that is capable of producing new texts after being trained on vast amounts of existing written material.
The way ChatGPT generates responses -- in grossly oversimplified terms, making probabilistic guesses about which bits of text belong together in a sequence, based on a statistical model trained on billions of examples of text pulled from across the Internet -- makes it susceptible to giving incorrect answers, even for seemingly straightforward mathematical problems. If one uses Chat GPT 3 to write more plays, the patterns may become apparent, and the plays begin to get monotonous, but when someone commands Chat GPT 3 to write a play for the first time, the results can be funny, if not perfectly correct. Unlike most chatbots, ChatGPT is stateful, it remembers the previous suggestions given to ChatGPT within a single conversation, something that some journalists suggested would enable ChatGPT to function like a personalized therapist.
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