large
What are Large Language Model (LLMs)?
Understanding and processing human language has always been a difficult challenge in artificial intelligence. Early AI systems often struggled to handle tasks like translating languages, generating meaningful text, or answering questions accurately. These systems relied on rigid rules or basic statistical methods that couldn’t capture the nuances of context, grammar, or cultural meaning. As a…
Modeling Extremely Large Images with xT
As computer vision researchers, we believe that every pixel can tell a story. However, there seems to be a writer’s block settling into the field when it comes to dealing with large images. Large images are no longer rare—the cameras we carry in our pockets and those orbiting our planet snap pictures so big and…
Why AI Needs Large Numerical Models (LNMs) for Mathematical Mastery • AI Blog
The availability and structure of mathematical training data, combined with the unique characteristics of mathematics itself, suggest that training a Large Numerical Model (LNM) is feasible and may require less data than training a general-purpose LLM. Here’s a detailed look: Availability of Mathematical Training Data Structure of Mathematics and Data Efficiency Mathematics’ highly structured nature…
DeepSpeed: a tuning tool for large language models
Large Language Models (LLMs) have the potential to automate and reduce the workloads of many types, including those of cybersecurity analysts and incident responders. But generic LLMs lack the domain-specific knowledge to handle these tasks well. While they may have been built with training data that included some cybersecurity-related resources, that is often insufficient for…
FACTS Grounding: A new benchmark for evaluating the factuality of large language models
Responsibility & Safety Published 17 December 2024 Authors FACTS team Our comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source material and avoid hallucinations Large language models (LLMs) are transforming how we access information, yet their grip on factual accuracy remains imperfect. They can “hallucinate”…
- 1
- 2