For all the progress made by large language models, most AI systems still share a fundamental weakness. They are static. Once trained, they rely on fixed behaviors and rigid tool use, which limits how ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

EngageLab helps businesses build stronger customer relationships with AI agents, unified customer data, and reliable delivery across channels. With the launch of EngageLab Omni Connect, developers and ...

The MarketWatch News Department was not involved in the creation of this content. Sophie, an AI developer agent, turns standard operating procedures into automated workflows that run across enterprise ...

What started as simple rule-based chatbots has now transformed into powerful AI systems capable of reasoning, planning, and ...

Most conversations around agentic AI today focus on screen-based applications. These include virtual assistants, copilots and tools designed to process information or automate simple digital tasks.

Process Diverse Data Types at Scale: Through the Unstructured partnership, organizations can automatically parse and transform documents, PDFs, images, and audio into high-quality embeddings at ...

Sophie, an AI developer agent, turns standard operating procedures into automated workflows that run across enterprise systems. It combines internal company data with external intelligence and records ...