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
GitHub - openai gpt-2: Code for the paper Language Models are . . . GPT-2 models' robustness and worst case behaviors are not well-understood As with any machine-learned model, carefully evaluate GPT-2 for your use case, especially if used without fine-tuning or in safety-critical applications where reliability is important 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
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 80GB GPU (like NVIDIA H100 or AMD MI300X) (117B parameters with 5 1B active parameters) gpt-oss-20b
GitHub - AntonOsika gpt-engineer: CLI platform to experiment with . . . The gpt-engineer community mission is to maintain tools that coding agent builders can use and facilitate collaboration in the open source community If you are interested in contributing to this, we are interested in having you If you want to see our broader ambitions, check out the roadmap, and join discord to learn how you can contribute to it
Awesome GPT - GitHub Awesome GPT A curated list of awesome projects and resources related to GPT, ChatGPT, OpenAI, LLM, and more