- 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 - formulahendry awesome-gpt: A curated list of awesome projects . . .
This repository is a collection of awesome projects and resources related to GPT, ChatGPT, OpenAI, LLM, and other related technologies Whether you're just getting started with GPT or you're a seasoned expert, this list has something for everyone
- 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
- OpenAI 发布 GPT-5. 1 模型，主打「更温暖」「说人话」，如何看待这一升级？ - 知乎
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。
- Supported AI models in GitHub Copilot
GitHub Copilot supports multiple models, each with different strengths Some models prioritize speed and cost-efficiency, while others are optimized for accuracy, reasoning, or working with multimodal inputs (like images and code together)
- GPT-API-free DeepSeek-API-free - GitHub
️ 免费API Key gpt-5系列模型的推理能力较弱，若需要更强的推理能力，可以购买付费API ️ 免费API Key仅可用于个人非商业用途，教育，非营利性科研工作中。 免费API Key严禁商用，严禁大规模训练商用模型！ 训练科研用模型请提前加群联系我们。
- GitHub - openai gpt-2: Code for the paper Language Models are . . .
gpt-2 Code and models from the paper "Language Models are Unsupervised Multitask Learners" You can read about GPT-2 and its staged release in our original blog post, 6 month follow-up post, and final post We have also released a dataset for researchers to study their behaviors
- 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
|