презентация развитые и развивающиеся страны 10 класс

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презентация развитые и развивающиеся страны 10 класс, GPT-3: Language Models are Few-Shot Learners - GitHub, ChatGPT中文版：国内访问指南（支持 GPT-4、GPT-4o、GPT-o1，无需翻墙）【6月持续更新】, chatgpt-chinese-gpt/ChatGPT-Chinese-version - GitHub, 2025年最新ChatGPT中文版：国内免费直连指南（支持GPT-4，GPT-4o，无需翻墙）, chatgpt-zh/GPT-official-Chinese - 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., 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 , ChatGPT中文版：国内访问指南（支持 GPT-4、GPT-4o、GPT-o1，无需翻墙）【5月持续更新】ChatGPT中文版、ChatGPT官网、ChatGPT网页版，本文提供完整的 ChatGPT 中文版使用指南，推荐国内可用的 ChatGPT 镜像网站，支持 GPT-4、GPT-4o，永久免费，无需翻墙，适合中文用户。.

全面掌握 ChatGPT 中文版，无需翻墙即可体验 GPT-4 与多功能服务！本指南旨在为用户提供详尽的 ChatGPT 中文版使用指南，并整理国内常用的 ChatGPT镜像网站与官方使用教程，帮助您快速上手，不论是个人使用还是专业需求。, 本文提供完整的 ChatGPT 中文版使用指南，推荐国内可用的 ChatGPT 镜像网站，支持 GPT-4、GPT-4o，永久免费，无需翻墙，适合中文用户。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 , 而gpt官网中文版则是为中文用户设计的易于访问和使用的版本。它使得用户能够方便地在国内访问和使用最新的gpt-4和gpt o1模型，进行文本生成、翻译、总结等任务。本文将详细介绍如何通过国内直连镜像网站访问gpt官网中文版，并提供具体的使用指南。, 📢 一站式体验 ChatGPT 中文版，无需翻墙，畅享 GPT-4o/o1/o3（2025-06-20最新）本项目专为中国用户打造，提供权威的 ChatGPT 中文版使用手册，系统整理国内主流的 ChatGPT 镜像网站及操作指引。无论您是学习、工作还是专业开发，都 , 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。, 镜像站名称地址支持版本免费额度注册方式稳定性功能亮点; 蛇语 AI: snakegpt.com.cn: GPT-4, GPT-3.5.

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