ArXiv TLDR

Christopher Hesse

3 papers · Latest:

Natural Language Processing

WebGPT: Browser-assisted question-answering with human feedback

WebGPT fine-tunes GPT-3 to answer complex questions by browsing the web and using human feedback to improve factual accuracy and answer quality.

2112.09332
Machine Learning

Evaluating Large Language Models Trained on Code

Codex, a GPT model fine-tuned on GitHub code, significantly outperforms prior models in generating correct Python programs from docstrings, demonstrating strong code synthesis capabilities.

2107.03374
Natural Language Processing

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.

2005.14165

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