Performances in N.Y.C. Advertisement Supported by A week before opening night, tensions spilled over offstage, with the show’s producing team temporarily prohibiting Stephen Adly Guirgis from entering ...
The producers have partnered with New York Theatre Workshop, Playwrights Horizons, Dramatists Guild of America, the Dramatists Guild Foundation and the Royal Court to cultivate community and ...
NPR's Scott Simon speaks with playwright Wallace Shawn and director André Gregory about their newest play, "What We Did Before Our Moth Days." They've been working together for five decades. A new ...
We have all heard about model context protocol (MCP) in the context of artificial intelligence. In this article, we will dive into what MCP is and why it is becoming more important by the day. When ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...
Three years into the generative AI era, most enterprises have remarkably little to show for it. Not because the models are bad—they're extraordinary. We've simply been feeding them the wrong diet.
Following an update to how ChatGPT models react to users, OpenAI is rolling out an even newer version to cater to complex problems with ChatGPT-5.4. Just a couple of days prior to OpenAI’s recent ...
Large context windows have dramatically increased how much information modern language models can process in a single prompt. With models capable of handling hundreds of thousands—or even millions—of ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...
At a glance, the two large B2B companies were almost identical. Both sell complex, multi-year technology services; they compete for many of the same enterprise customers. Sales stages, forecasting ...
In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...
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