Federated learning is a decentralized approach to training machine learning (ML) models. Each node across a distributed network trains a global model using its local data, with a central server agg...

Agentic reasoning is a component of AI agents that handles decision-making. It allows artificial intelligence agents to conduct tasks autonomously by applying conditional logic or heuristics, relyi...

Reasoning in artificial intelligence (AI) refers to the mechanism of using available information to generate predictions, make inferences and draw conclusions. It involves representing data in a fo...

Here’s a list of some of the most current and popular large language models to help organizations narrow their options and consider which model meets their needs.

Vision language models (VLMs) are artificial intelligence (AI) models that blend computer vision and natural language processing (NLP) capabilities.