The Injectable Realignment Model (IRM) is a trainable feed-forward neural network that modifies a language model's forward pass as it runs, in order to realign the language model's output behavior.

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 ...

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 ...

Several years back, Gartner made the polarizing prediction that CMOs would one day outspend CIOs on technology. The declaration seemed outrageous at the time, but it proved true as early as 2015. Over ...

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 ...

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 ...

OpenAI’s new, powerful open weights AI large language model (LLM) family gpt-oss was released less than two weeks ago under a permissive Apache 2.0 license — the company’s first open weights model ...