原文链接:https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/ 作者:Stephen Wolfram,发表于 2023年2月14日 翻译如下:ChatGPT 能够自动生成一些读起来甚至表面上像人类…
Within each such attention block there are a collection of “attention heads” (12 for GPT-2, 96 for ChatGPT’s GPT-3)—each of which operates independently on different chunks of values in the embedding vector. (And, yes, we don’t know any particular reason why it’s a good idea t...
ChatGPT需要大量的数据以学习语言模式、提高泛化能力和生成多样且准确的回答。 1. **学习语言模式**: - ChatGPT基于深度学习的Transformer架构,需通过海量数据捕捉词汇、语法、句法和语义关系。充足数据使模型理解上下文、多义词、隐喻等复杂语言现象。2. **提升泛化能力**: - 大模型(如GPT-3有1750亿参数)的高参...
根据 “ChatGPT uses a much bigger database(数据库) for training. It uses stronger software(软件) and hardware(硬件) to learn things by itself."可知,ChatGPT不仅有一个训练数据库,而且还可以自学,对应 bc两个点。故选C。 【55题详解】 细节理解题。根据 “Since the robot is trained using words...
Since its release a year ago, it has been impossible to escape the ChatGPT craze. The chatbot, which generates incredibly realistic human-like text and was released by OpenAI in November 2022, seems to have permeated every industry, including science. Researchers have used ChatGPT, and the ...
OpenAI's rumored search engine became a reality with its launch of SearchGPT this month. While it joins other AI search platforms like Perplexity and Arc Search, the scale of ChatGPT raises the question: Could this be the Google killer? It has a long way to go. Google has 90.68% of se...
Why ChatGPT just doesn’t work for me ChatGPT can generate some really good stuff. It can produce language that’s natural, coherent, even witty and interesting. But most of the prime examples you tend to see come from extremely simple prompts — the “write a poem about shopping at Wal...
解析 A. aD 17. Why does ChatGPT make mistakes? A. It likes fake information more. B. Some of its young users cannot use it correctly. C. Its creator doesn't know all the answers. D. It may pick up wrong information on the intermet. ...
ChatGPT does not solve all academic writing problems because texts created with ChatGPT often have the following shortcomings:
To begin, the paper states that ChatGPT and other AI systems are large language models (LLM), trained on massive amounts of data mined from the internet, much of which shares the biases of the people who post the data. “LLMs generate impressive text, but often make things up whole cl...