With just 11,700 training data points and a single training run, the AI search agent OpenSeeker achieves results that rival solutions from Alibaba and others. Data, code, and model are all openly accessible.<br /> The article OpenSeeker's open-source approach aims to break up the data monopoly for AI search agents appeared first on The Decoder. [...]
Nimble, a New York City-based tech startup VentureBeat previously covered for its efforts to re-invent web search for enterprises by using multiple AI agents to improve accuracy and depth, is taking a [...]
For a quarter century, the Google search box has been one of the most recognizable interfaces in computing: a thin white rectangle, a blinking cursor, a few typed words, and a list of blue links. On T [...]
Jensen Huang walked onto the GTC stage Monday wearing his trademark leather jacket and carrying, as it turned out, the blueprints for a new kind of monopoly.The Nvidia CEO unveiled the Agent Toolkit, [...]
Another day, another new AI agent harness is released.Only this time, it's one that aims to solve a growing enterprise problem as AI agents proliferate: enabling greater developer control of agen [...]
Adding an AI agent to Slack sounds appealing to many enterprises — but, as VentureBeat has experienced ourselves first hand — the reality is often far more complex and clunkier than it first seems [...]
A joint research collaboration between researchers at the University of Illinois at Urbana-Champaign (UIUC), UC Berkeley, and the open source AI-native vector database platform Chroma unveiled Harness [...]