Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
Cambridge, MA – To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions. But common ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a newly revealed technique in ...
Max Tokens is the maximum number of tokens the model can generate during a run. The model will try to stay within this limit across all turns. If it exceeds the specified number, the run will stop and ...
One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...
In namespace mode, sampling is used to map the user's intent to one of a set of base tools. The MCP protocol allows sampling requests to specify preferences for the language model to use but we ...
ABSTRACT: The study investigated the influence of corporate governance (CG), including board independence, size, and diversity, on market power, with a focus on the mediating role of corporate social ...
Abstract: Finite time-vertex graph signals (FTVGS) provide an efficient representation for capturing spatio-temporal correlations across multiple data sources on irregular structures. Although ...
A new research paper from Apple details a technique that speeds up large language model responses, while preserving output quality. Here are the details. Traditionally, LLMs generate text one token at ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback