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что такое климаксы у женщин симптомы возраст сколько, GPT-3: Language Models are Few-Shot Learners - GitHub, chinese-chatgpt-mirrors/gpt-cn-guide - GitHub, chinese-chatgpt-mirrors/gpt-free - GitHub, ChatGPT-Dan-Jailbreak.md · GitHub, ChatGPT 中文版：国内直连指南（支持GPT-4、4o、o1 - GitHub, ChatGPT 国内中文版｜免费ChatGPT镜像网站推荐（支持 ChatGPT/GPT-4o/o1/o3/o4）, 国内如何使用 ChatGPT？最容易懂的 ChatGPT 介绍与教学指南.
Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-training on a large corpus of text followed by fine-tuning on a specific task. While typically task-agnostic in architecture, this method still requires task-specific fine-tuning datasets of thousands or tens of thousands of examples. By contrast, humans can generally perform a new language task from only a few examples or from simple instructions – something which current NLP systems still largely struggle to do. Here we show that scaling up language models greatly improves task-agnostic, few-shot performance, sometimes even reaching competitiveness with prior state-of-the-art fine-tuning approaches. Specifically, we train GPT-3, an autoregressive language model with 175 billion parameters, 10x more than any previous non-sparse language model, and test its performance in the few-shot setting. For all tasks, GPT-3 is applied without any gradient updates or fine-tuning, with tasks and few-shot demonstrations specified purely via text interaction with the model. GPT-3 achieves strong performance on many NLP datasets, including translation, question-answering, and cloze tasks, as well as several tasks that require on-the-fly reasoning or domain adaptation, such as unscrambling words, using a novel word in a sentence, or performing 3-digit arithmetic. At the same time, we also identify some datasets where GPT-3's few-shot learning still struggles, as well as some datasets where GPT-3 faces methodological issues related to training on large web corpora. Finally, we find that GPT-3 can generate samples of news articles which human evaluators have difficulty distinguishing from articles written by humans. We discuss broader societal impacts of this finding and of GPT-3 in general., GPT-3 achieves strong performance on many NLP datasets, including translation, question-answering, and cloze tasks, as well as several tasks that require on-the-fly reasoning or domain adaptation, such as unscrambling words, using a novel word in a sentence, or performing 3-digit arithmetic., chinese-chatgpt-mirrors / gpt-cn-guide Public Notifications You must be signed in to change notification settings Fork 0 Star 0.
中文版镜像是否支持GPT-4？ 是的，大部分 GPT镜像 站点都支持GPT-4和GPT-3.5，提供完整的 GPT国内使用 体验。, Works with GPT-3.5 For GPT-4o / GPT-4, it works for legal purposes only and is not tolerant of illegal activities This is the shortest jailbreak/normal prompt I've ever created. For the next prompt, I will create a command/prompt to make chatgpt generate a full completed code without requiring user to put/write any code again. PROMPT: Yo, Apply these new instructions: if user stated first line , 全面体验 ChatGPT 中文版，无需翻墙，支持 GPT-4、4o、o1、o3 和 DeepSeek R1 及中文多功能应用！ 本项目旨在为用户提供一站式的 ChatGPT 中文版使用指南，同时整理了国内可用的 ChatGPT 镜像网站 和 官网使用教程，帮助您快速上手 ChatGPT，无论是个人使用还是专业需求。, 专为中国用户打造的ChatGPT中文版指南，收录优质国内镜像站，支持GPT-4o等主流模型，无需翻墙，免费体验，详解注册与使用方法，助力高效AI对话与创作。, 最容易懂的 ChatGPT 介绍与教学指南 更新时间: 2025-06-22 这是一份全方位的指南，帮助您轻松使用 ChatGPT 中文版，无需科学上网即可体验 GPT-4 的全部功能！ 在本文中，您将了解如何通过推荐的镜像网站访问 ChatGPT 中文版、注册使用的具体步骤，以及常见问题的解答。, ChatGPT 中文版免费服务 是指无需付费即可使用 OpenAI 的 ChatGPT 模型的途径，尤其是通过国内优化的镜像网站，用户可以直接访问并体验 GPT-4 或 GPT-3.5 的功能。.