The Robot Report

Vision-language-action models are the next leap in autonomous robotics

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and ...

The End of Language As We Know It? Scientists Challenge 60 Years of Linguistic Research

An international team proposes replacing Hockett’s feature checklist with a model of language as a dynamic, multimodal, and ...
Hosted on MSN

Crafting the ultimate Blue-Eyes dragon: Complete Yu-Gi-Oh! model tutorial

Discover the step-by-step journey of crafting a stunning Blue-Eyes Ultimate Dragon model inspired by Yu-Gi-Oh! Watch as traditional sculpting in oil-wax clay meets innovative 3D printing and resin ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
Fast Company

Are LTMs the next LLMs? This new type of AI can do what large-language models can’t

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...
IEEE

Evaluating and Mitigating Relationship Hallucinations in Large Vision-Language Models

Abstract: The issue of hallucinations is a prevalent concern in existing Large Vision-Language Models (LVLMs). Previous efforts have primarily focused on investigating object hallucinations, which can ...
Microsoft

Detecting backdoored language models at scale

Today, we are releasing new research on detecting backdoors in open-weight language models. Our research highlights several key properties of language model backdoors, laying the groundwork for a ...
IEEE

Optimization of Prompt Learning via Multi-Knowledge Representation for Vision-Language Models

Abstract: Vision-language models (VLMs), such as CLIP, play a foundational role in various cross-modal applications. To fully leverage the potential of VLMs in adapting to downstream tasks, context ...