Language model alignment has become a pivotal technique in making language technologies more user-centric and effective across different languages. Traditionally, aligning these models to mirror human ...

This repo includes a reference implementation of the Residual Alignment Model (RAM) for training and evaluation, as described in the paper: "Leveraging Importance Sampling to Detach Alignment Modules ...

According to Anthropic (@AnthropicAI), many large language models (LLMs) do not fake alignment not because of a lack of technical ability, but due to differences in training. Anthropic highlights that ...

Large Language Models (LLMs) have demonstrated exceptional capabilities across diverse applications, but their widespread adoption faces significant challenges. The primary concern stems from training ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. If you’ve ever turned to ChatGPT to self-diagnose a health issue, you’re not alone—but make ...

Alignment Healthcare is well-positioned for growth, benefiting from an aging U.S. population and increasing demand for high-quality senior healthcare services. Strong membership growth and high CMS ...