Categories: AI/ML News

LlamaV-o1: Curriculum learning–based LLM shows benefits of step-by-step reasoning in AI systems

A team of AI researchers at Mohamed bin Zayed University of AI, in Abu Dhabi, working with a colleague from the University of Central Florida, has developed a curriculum learning–based LLM, called LlamaV-o1, that its makers claim shows the benefits of step-by-step reasoning in AI systems. In their study, published on the arXiv preprint server (and also on GitHub), the group built their LLM with a new level of step-by-step reasoning to understand how it arrives at its answers.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

Tried longer videos with WAN 2.2 Animate

I altered the workflow a little bit from my previous post (using Hearmeman's Animate v2…

8 hours ago

10 Python One-Liners for Generating Time Series Features

Time series data normally requires an in-depth understanding in order to build effective and insightful…

8 hours ago

Evaluating Evaluation Metrics — The Mirage of Hallucination Detection

Hallucinations pose a significant obstacle to the reliability and widespread adoption of language models, yet…

8 hours ago

Announcing new capabilities in Vertex AI Training for large-scale training

Building and scaling generative AI models demands enormous resources, but this process can get tedious.…

8 hours ago

MiniMax-M2 is the new king of open source LLMs (especially for agentic tool calling)

Watch out, DeepSeek and Qwen! There's a new king of open source large language models…

9 hours ago

Elon Musk’s Grokipedia Pushes Far-Right Talking Points

The new AI-powered Wikipedia competitor falsely claims that pornography worsened the AIDS epidemic and that…

9 hours ago