The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...
But in practice, prompt iteration has historically felt disjointed and slow. Makers previously balanced their flow of work ...
Hermes Agent is a new open source autonomous AI tool that runs tasks across Telegram, Discord, WhatsApp, and the CLI.
The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...
What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...
As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...
In today's enterprise landscape, a simple business request rarely follows a straight line. A purchase requisition might evolve into a multi-threaded process involving data enrichment, supplier ...
For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...
How do you balance risk management and safety with innovation in agentic systems -- and how do you grapple with core considerations around data and model selection? In this VB Transform session, ...
Multi-agent orchestration makes workflow more inspectable, with clear handoffs and a QA backstop. Breaking the work into discrete steps makes the output easier to audit and fix. A timestamped handoff ...
Capital One's production multi-agent AI system coordinates specialized agents for data retrieval, analysis, and action execution using a proprietary multi-agentic conversational AI workflow that ...