Models

The keystroke dynamics which can be utilized in this text’s machine learning models for user recognition are behavioral biometrics. Keystroke dynamics uses the distinctive way that all and sundry types to verify their identity....

We’ve trained language models which can be a lot better at following user intentions than GPT-3 while also making them more truthful and fewer toxic, using techniques developed through our alignment research. These InstructGPT models, that...

OpenAI is developing a research program to evaluate the economic impacts of code generation models and is inviting collaboration with external researchers. Rapid advances within the capabilities of enormous language models (LLMs) trained on...

We show that a GPT-3 model can learn to precise uncertainty about its own answers in natural language—without use of model logits. When given an issue, the model generates each a solution and a...

This paper pursues the insight that giant language models (LLMs) trained to generate code can vastly improve the effectiveness of mutation operators applied to programs in genetic programming (GP). Because such LLMs profit from...

Codex, a big language model (LLM) trained on a wide range of codebases, exceeds the previous state-of-the-art in its capability to synthesize and generate code. Although Codex provides a plethora of advantages, models which...

We show that autoregressive language models can learn to infill text after we apply a simple transformation to the dataset, which simply moves a span of text from the center of a document to...

As generative language models improve, they open up recent possibilities in fields as diverse as healthcare, law, education and science. But, as with every recent technology, it's value considering how they will be misused....