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- GitHub - openai gpt-2: Code for the paper Language Models are . . .
The dataset our GPT-2 models were trained on contains many texts with biases and factual inaccuracies, and thus GPT-2 models are likely to be biased and inaccurate as well To avoid having samples mistaken as human-written, we recommend clearly labeling samples as synthetic before wide dissemination
- GPT-3: Language Models are Few-Shot Learners - GitHub
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
- GitHub - openai gpt-oss: gpt-oss-120b and gpt-oss-20b are two open . . .
Try gpt-oss · Guides · Model card · OpenAI blog Download gpt-oss-120b and gpt-oss-20b on Hugging Face Welcome to the gpt-oss series, OpenAI's open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases We're releasing two flavors of these open models: gpt-oss-120b — for production, general purpose, high reasoning use cases that fit into a single
- 可以详细说下从GPT-1到GPT-4，有哪些变化，是如何发展的？
GPT-3不仅能生成连贯的段落，而且能生成整篇与上下文相关、风格一致的文章，这些文章通常与人类编写的内容无法区分。 GPT-3具有零样本学习的能力，即使在没有经过特定训练的情况下，也能执行特定任务，它的出现使得AI语言模型的应用得到了广泛的推广。
- GitHub - binary-husky gpt_academic: 为GPT GLM等LLM大 . . .
GPT 学术优化 (GPT Academic) 如果喜欢这个项目，请给它一个Star；如果您发明了好用的快捷键或插件，欢迎发pull requests！ If you like this project, please give it a Star Read this in English | 日本語 | 한국어 | Русский | Français All translations have been provided by the project itself
- RVC-Boss GPT-SoVITS - GitHub
1 min voice data can also be used to train a good TTS model! (few shot voice cloning) - RVC-Boss GPT-SoVITS
- GitHub - Azure GPT-RAG: Sharing the learning along the way we been . . .
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using
- OpenAI 发布 GPT-5. 1 模型，主打「更温暖」「说人话」 . . .
总之GPT-5的人设就是这样，非常伪人，它可以用很低的幻觉率、很难懂又简练的语言来帮你回答问题。 但是你让他直接为普通用户（非GPT订阅用户）提供内容，用户马上就会抓狂。 GPT-5 1，应该算是对这种抓狂和马上要出的gemini 3 0的补救。
- 不是说chat gpt是免费的吗，怎么只能免费问一次? - 知乎
后来自己注册gpt账号，能免费使用GPT-3 5，每月20刀的Gpt-4还是不大舍得去搞，3 5基本也够用了，搭配chatpdf等其他AI工具，用起来还是很方便的。 再后来，用过微软的Bing，还有早期只支持英文的Bard（Bard现在也支持中文了），各有特色，习惯了GPT，还是用它比较多。
- Transformer两大变种：GPT和BERT的差别（易懂版）-2更
Transformer是GPT和BERT的前身。谷歌和OpenAI在自然语言处理技术上的优化，都是基于这个模型。 更多关于的Transformer可以看文章： ChatGPT与Transformer（无公式版） 而在目前的“猜概率”游戏环境下，基于大型语言模型（LLM，Large Language Model）演进出了最主流的两个方向，即Bert和GPT。 其中BERT是之前最流行
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