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07/25/2022
A Hazard Analysis Framework for Code Synthesis Large Language Models
Codex, a large language model (LLM) trained on a variety of codebases, e...
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01/24/2022
Text and Code Embeddings by Contrastive Pre-Training
Text embeddings are useful features in many applications such as semanti...
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12/17/2021
WebGPT: Browser-assisted question-answering with human feedback
We fine-tune GPT-3 to answer long-form questions using a text-based web-...
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12/14/2021
Filling gaps in trustworthy development of AI
The range of application of artificial intelligence (AI) is vast, as is ...
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08/05/2021
Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications
Recently, there have been breakthroughs in computer vision ("CV") models...
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07/07/2021
Evaluating Large Language Models Trained on Code
We introduce Codex, a GPT language model fine-tuned on publicly availabl...
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02/26/2021
Learning Transferable Visual Models From Natural Language Supervision
State-of-the-art computer vision systems are trained to predict a fixed ...
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05/28/2020
Language Models are Few-Shot Learners
Recent work has demonstrated substantial gains on many NLP tasks and ben...
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04/15/2020