Sandhini Agarwal
4 papers · Latest:
GPT-4 Technical Report
GPT-4 is a large-scale multimodal Transformer model achieving human-level performance on professional and academic benchmarks through advanced training and alignment techniques.
Training language models to follow instructions with human feedback
This paper presents InstructGPT, a method to align language models with user intent by fine-tuning GPT-3 using human feedback, resulting in more truthful, helpful, and less toxic outputs.
Learning Transferable Visual Models From Natural Language Supervision
This paper presents CLIP, a model that learns versatile visual representations by training on 400 million image-text pairs, enabling zero-shot transfer to diverse vision tasks without task-specific training.
Language Models are Few-Shot Learners
GPT-3, a 175 billion parameter language model, demonstrates strong few-shot learning abilities across diverse NLP tasks without task-specific fine-tuning.
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