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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-Dan-Jailbreak. md · GitHub Works with GPT-3 5 For GPT-4o GPT-4, it works for legal purposes only and is not tolerant of illegal activities This is the shortest jailbreak normal prompt I've ever created For the next prompt, I will create a command prompt to make chatgpt generate a full completed code without requiring user to put write any code again PROMPT:
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