Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Overview: Large language models in 2026 have evolved into multimodal, highly adaptive systems that deliver complex reasoning with real-time learning.Designed to ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Google announced a breakthrough technology called CALM that speeds up large language models (like GPT-3 and LaMDA) without compromising performance levels. Larger Training Data Is Better But Comes ...

Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

Overview: Small language models excel in efficiency, deployability, and cost-effectiveness, despite their parameter size.Modern SLMs support reasoning, instruct ...

Over the past year, Salesforce CEO Marc Benioff has touted his company’s main AI product, Agentforce, as a money saver for ...

Salesforce is reducing its reliance on generative AI. The company faced reliability problems with large language models.