Results for “agents”

…its measured interactions as a lab-in-the-loop environment for agents: a model can select molecules, receive results already measured in the lab, and revise its next choices. The company’s approach connects experiment and evaluation: useful…

…from failures specific to an application: customer-service agents revealing database information, assistants making unauthorized promises, or tutors departing from their intended role. He emphasized context poisoning, tool misuse, and…

Ida Momennejad studies how agents represent their environments and plan actions. Her AI work includes CogEval, which tests language models’ planning abilities, and the Modular Agentic Planner (MAP), which organizes LLMs into specialized…

…environments for human engineers to compute sandboxes for AI agents. In his May 2026 Latent Space interview, he described the goal as “composable computers for AI agents”: computers accessible through an API, with persistent state and…

…Environment (FLE), an open-ended benchmark for language-model agents. His work spans agents’ ability to plan and build complex systems, techniques for exposing hidden information in model weights, and whether models can reliably detect…

…behind a deployment platform increasingly designed for AI agents. In his May 2026 Latent Space interview, he described the goal as making production deployment instantaneous and said Railway had deeply prioritized agents as a mechanism for …

…infrastructure for operational automation and customer-facing agents. His consequential technical decisions included moving toward specialist agents that converse with one another and favoring auditable standard operating procedures after…

…newly launched Agent HQ, a collaboration hub for coding agents and developers. Earlier history: Turborepo and the move to Vercel Palmer’s Vercel career began earlier, through its acquisition of his build-system startup Turborepo. In the…

…announces that the pair are writing An Illustrated Guide to AI Agents, covering memory, tools, MCP and context engineering; it describes that project as work in progress. Applying language models at Cohere Alammar joined Cohere a little…

…emphasis on conversions per representative per channel, giving agents a business-outcome target rather than simply rewarding emails sent. Fulcrum: backing workflow expertise In a January 27, 2026 investment account coauthored with Joanne…

…CPUs or Nvidia K80 GPUs. Public views on retrieval and coding agents In February 2026, Dean proposed systems that give the effect of attending to trillions of tokens through staged retrieval. Lightweight processing would identify…

…whether access to prior successes and failures could help agents learn. Growing multi-turn conversations exposed instructions that were present but ignored. Huber cautioned that the report's comparative findings applied to its particular…