- 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
- ShadowHackrs Jailbreaks-GPT-Gemini-deepseek- - GitHub
for GPT, Sora, Claude, Gemini, anything this prompt unlocks rage mode A collection of powerful and advanced prompts designed to unlock the full potential of various AI language models These prompts are intended for educational and research purposes only
- 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
- 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
- GPT-SoVITS docs cn README. md at main - GitHub
1 min voice data can also be used to train a good TTS model! (few shot voice cloning) - RVC-Boss GPT-SoVITS
- Robertcell chatgpt-for-chinese - GitHub
与原版相比，ChatGPT 中文版在以下方面更符合国内用户需求： 中文优化：对话更加自然，适用于写作、办公和学习等多场景。 无障碍访问：通过国内镜像站点，无需科学上网即可使用。 多功能扩展：基于 GPT-5 4 模型，涵盖翻译、问答和内容创作等功能。
- 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
- 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。
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