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.
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.
For all of the default AI models, input prompts and output completions run through GitHub Copilot's content filters for harmful, offensive, or off-topic content, and for public code matching when enabled. Supported AI models in Copilot This table lists the AI models available in Copilot, along with their release status and availability in different modes.
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