Ada Lovelace

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A new test from OpenAI researchers found that LLMs were unable to resolve some freelance coding tests, failing to earn full value.

I wanted my local AI models—including DeepSeek—to compose formatted recipes from food photos, but getting them to work together was a challenge.

Anna Mae Yu Lamentillo, founder of NightOwlGPT, has been shortlisted as a finalist for the She Shapes AI Awards 2024/25 in the AI & Learning category. The award celebrates

Artificial intelligence (AI) is everywhere—from the chatbots we consult for customer support to tools predicting how diseases might spread. But the computing power and energy required to power modern AI models—such as large language models (LLMs)—can make them expensive,

This contrast points out the very critical limitations of LLMs and opens the door for the emerging frontier of large concept models (LCMs). Unlike LLMs, an LCM goes deeper, attempting to emulate human cognitive processes by constructing its frameworks from the very building blocks of human thought.

Today, there are dozens of publicly available large language models (LLMs), such as GPT-3, GPT-4, LaMDA, or Bard, and the number is constantly growing as new models are released. LLMs have revolutionized artificial intelligence,

Mesh, a groundbreaking approach that extends large language models (LLMs) to generate and interpret 3D mesh data in a unified, text-based framework. LLaMA-Mesh tokenizes 3D meshes as plain text, enabling the seamless integration of spatial and textual information.