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Copilot, integrated into Bing, can perform tasks like writing poems and making reservations. Here's how to use the AI service in Bing. Microsoft first unveiled a revamped, AI-powered version of ...
Prompt engineering is the process of structuring or crafting an instruction in order to produce the best possible output from a generative artificial intelligence (AI) model. [ 1 ] A prompt is natural language text describing the task that an AI should perform. [ 2 ]
Some examples of commonly used question answering datasets include TruthfulQA, Web Questions, TriviaQA, and SQuAD. [127] Evaluation datasets may also take the form of text completion, having the model select the most likely word or sentence to complete a prompt, for example: "Alice was friends with Bob. Alice went to visit her friend, ____". [1]
If separating words using spaces is also permitted, the total number of known possible meanings rises to 58. [38] Czech has the syllabic consonants [r] and [l], which can stand in for vowels. A well-known example of a sentence that does not contain a vowel is Strč prst skrz krk, meaning "stick your finger through the neck."
ChatGPT is a generative artificial intelligence chatbot developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [2]
Using AI to generate ideas, create an outline and provide specific instructions for writing each paragraph, Terry wasn’t using an AI assistant; he had become the assistant — and so will we.
On February 7, 2023, Microsoft began rolling out a major overhaul to Bing, called the new Bing. [27] A chatbot feature, at the time known as Bing Chat, had been developed by Microsoft and was released in Bing and Edge as part of this overhaul. According to Microsoft, one million people joined its waitlist within a span of 48 hours. [28]
Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence. Word2vec was developed by Tomáš Mikolov and colleagues at Google and published in 2013. Word2vec represents a word as a high-dimension vector of numbers which capture relationships between words.
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