GPT的结果往往会随着所选择的不同上下文示例而显著波动在这项工作中，本文研究了是否有更有效的策略来明智地选择上下文示例(相对于随机抽样)，从而更好地利用GPT-3的few-short learning能力。本
GPT- 3 3 has attracted lots of attention due to its superior performance across a wide range of NLP tasks, especially with its powerful and versatile in-context few-shot learning ability. Despite its success, we found that the empirical results of GPT- 3 3 depend heavily on the choice of...
What makes good in-context examples for gpt-3? ACL系列已发 Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity (看着好像是讨论demostration的顺序) Learning to retrieve prompts for in-context learning. 两篇元学习?: Meta-learning via language model ...
What makes GPT-3 special is its ability to respond intelligently to minimal input. It's been extensively trained on billions of parameters, and now it only needs a handful of prompts or examples to perform the specific task you desire—this is known as "few-shot learning." For example, af...
“There’s a category error here,” she says. Hanna and Bender don’t just reject what Agüera y Arcas says; they claim it makes no sense. “Can we please stop it with the ‘an AI’ or ‘the AIs’ as if they are, like, individuals in the world?” Bender says. ...
In July 2020, Vox described GPT-3’s ability to churn out convincing content as “uncanny.” Arram Sabeti’s experiment likewise raised questions about whether AI could soon be good enough to eliminate the need for human content writers. ...
ChatGPT 的本质就是一个 loop:for { next = GPT(content) if next == EOS { break } content += next }Copy在模型输出结束词(end-of-sequence, EOS)前,不断地循环迭代。这是黄仁勋对 Ilya 的一次访谈,其中 Ilya 多次强调:最重要的事情,就是预测好下一个词。https://youtu.be/GI4Tpi48DlA?si=cH...
main benefit of NLP is that it improves the way humans and computers communicate with each other. The most direct way to manipulate a computer is through code -- the computer's language. Enabling computers to understand human language makes interacting with computers much more intuitive for ...
GPT-4 performance improvements As you might expect, GPT-4 improves on GPT-3.5 models regarding the factual correctness of answers. The number of "hallucinations," where the model makes factual or reasoning errors, is lower, with GPT-4 scoring 40% higher than GPT-3.5 on OpenAI's internal fac...
GPT-4 Turbo has a 128,000-token context window, equivalent to 300 pages of text in a single prompt,according to OpenAI. The model also has training data knowledge up to December 2023. Also:GPT-4 Turbo reclaims the 'best AI model' crown from Anthropic's Claude 3 ...