Alec Radford
Credited under the printed name “Alec Radford” in the bylines of 6 recorded papers, among them “Proximal Policy Optimization Algorithms” (2017) and “Improving Language Understanding by Generative Pre-Training” (2018). No affiliation or role is recorded.
Description from Selekoa’s record. Sources: Language Models are Few-Shot Learners · Evaluating Large Language Models Trained on Code (arXiv:2107.03374v1) · Language Models are Unsupervised Multitask Learners · Improving Language Understanding by Generative Pre-Training · Scaling Laws for Neural Language Models
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- Improving Language Understanding by Generative Pre-TrainingAlec Radford is a credited author of Improving Language Understanding by Generative Pre-Training.Date unknown · Stated in source · Supported Inspect claim & evidence ↗Improving Language Understanding by Generative Pre-Training: document page →
- Language Models are Unsupervised Multitask LearnersAlec Radford is a credited author of Language Models are Unsupervised Multitask Learners.Date unknown · Stated in source · Supported Inspect claim & evidence ↗Language Models are Unsupervised Multitask Learners: document page →
- Proximal Policy Optimization AlgorithmsAlec Radford is a credited author of Proximal Policy Optimization Algorithms.2017-07-20 · publication · Stated in source · Supported Inspect claim & evidence ↗Proximal Policy Optimization Algorithms: document page →
- Language Models are Few-Shot LearnersAlec Radford is a credited author of Language Models are Few-Shot Learners.2020 · publication · Stated in source · Supported Inspect claim & evidence ↗Language Models are Few-Shot Learners: document page →
- Scaling Laws for Neural Language ModelsAlec Radford is a credited author of Scaling Laws for Neural Language Models.2020-01-23 · publication · Stated in source · Supported Inspect claim & evidence ↗Scaling Laws for Neural Language Models: document page →
- Evaluating Large Language Models Trained on CodeAlec Radford is a credited author of Evaluating Large Language Models Trained on Code.2021-07-07 · publication · Stated in source · Supported Inspect claim & evidence ↗Evaluating Large Language Models Trained on Code: document page →
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