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- GPT-3: Language Models are Few-Shot Learners - GitHub
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【国内无限制使用指南】| GPT-4 4o . . . - GitHub
本文提供完整的 ChatGPT 中文版使用指南,推荐国内可用的 ChatGPT 中文版,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 ,帮助您快速上手
- 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
- ChatGPT Jailbreak Pro - GitHub
The ultimate ChatGPT Jailbreak Tool with stunning themes, categorized prompts, and a user-friendly interface - Batlez ChatGPT-Jailbreak-P
- ChatGPT 中文版:国内免费使用入口(支持 GPT-4. 1、4o画图,无需翻墙)【7月最新更新】
全面体验 ChatGPT 中文版,无需翻墙,支持 GPT-4 1、GPT-4o、4o 画图、o1、o3 及中文本地功能! 本指南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 ,满足各种工作、学习及日常生活中的需要~
- RVC-Boss GPT-SoVITS - GitHub
Zero-shot TTS: Input a 5-second vocal sample and experience instant text-to-speech conversion Few-shot TTS: Fine-tune the model with just 1 minute of training data for improved voice similarity and realism Cross-lingual Support: Inference in languages different from the training dataset, currently
- GitHub - chatgpt-chinese-gpt ChatGPT_mirrors: 国内 ChatGPT-4中文版镜像网站整理 . . .
支持Claude3,开通会员后可以同时使用GPT-o1、GPT-o3与Claude,支持使用canvas模型。 https: ai-panda xyz —— 运营时长两年,支持GPT4 0、GPT4o。 如何快速使用ChatGPT镜像网站
- AntonOsika gpt-engineer - GitHub
gpt-engineer installs the binary 'bench', which gives you a simple interface for benchmarking your own agent implementations against popular public datasets The easiest way to get started with benchmarking is by checking out the template repo, which contains detailed instructions and an agent template
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