Chatbot ChatGPT-as Told by ChatGPT Itself.”įortune. “ Elon Musk’s History with OpenAI-the Maker of A.I. “ Generative Pre-Trained Transformers (GPT-3) Pertain to AI in the Law.”įortune. “ ChatGPT: Optimizing Language Models for Dialogue.” “ You’ll Be Seeing ChatGPT’s Influence Everywhere This Year.” “ How ChatGPT’s AI Chatbot Can Lower Your Bills, Plan Your Meals and More.”ĬNET. Some artificial intelligence experts believe that ChatGPT could revolutionize both the way that humans interact with chatbots and AI more broadly.ĬNET. In its first months of existence, ChatGPT inspired users to imagine a host of use cases for the model, including using ChatGPT to negotiate parking tickets, make workout plans, and even create bedtime stories for children.
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The race to develop and commercialize the technology seems to be accelerating. China’s Baidu announced its own Ernie Bot earlier this month. In February, shortly after investing $10 billion into ChatGPT’s creator OpenAI, Microsoft launched a conversational interface to its search engine Bing using the technology. The fast-tracking of Bard shows how the excitement and hype around ChatGPT has jolted the company into taking more risks. Google first demonstrated a chatbot built with these technologies in 2020 but chose to proceed cautiously, especially after one of its engineers triggered a storm of media coverage by arguing that a language model he was working on could be sentient. They include the type of machine-learning algorithm, known as a transformer, that was used to build the language model behind ChatGPT. Google AI researchers invented several key innovations that went into the creation of ChatGPT. They also tend to reflect back the way a user addresses them, causing them to readily act as if they have emotions and to be vulnerable to being nudged into saying strange and inappropriate things. This turns out to be an incredibly effective way of mimicking human responses to questions, but it means that the algorithms will sometimes make up, or “hallucinate,” facts-a serious problem when a bot is supposed to be helping users find information or search the web.ĬhatGPT-style bots can also regurgitate biases or language found in the darker corners of their training data, for example around race, gender, and age. For a company like Google with large established products, the challenge is particularly difficult.īoth the chatbots use powerful AI models that predict the words that should follow a given sentence based on statistical patterns gleaned from enormous amounts of text training data. That presents a conundrum for companies hoping to gain an edge in advancing and harnessing the technology. Bard and ChatGPT show enormous potential and flexibility but are also unpredictable and still at an early stage of development.
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