AI (Artificial Intelligence)

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Exa AI Introduces Exa Instant: A Sub-200ms Neural Search Engine Designed to Eliminate Bottlenecks for Real-Time Agentic Workflows

In the world of Large Language Models (LLMs), speed is the only feature that matters once accuracy is solved. For a human, waiting 1 second for a search result is fine. For an AI agent performing 10 sequential searches to solve a complex task, a 1-second delay per search creates a 10-second lag. This latency […]

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[In-Depth Guide] The Complete CTGAN + SDV Pipeline for High-Fidelity Synthetic Data

In this tutorial, we build a complete, production-grade synthetic data pipeline using CTGAN and the SDV ecosystem. We start from raw mixed-type tabular data and progressively move toward constrained generation, conditional sampling, statistical validation, and downstream utility testing. Rather than stopping at sample generation, we focus on understanding how well synthetic data preserves structure, distributions,

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A New Frontier for AI Agents: Cybersecurity

As AI agents gain autonomy and access to sensitive systems, emerging threats like prompt injection worms highlight how human-like security training and governance must evolve to prevent large-scale, opaque cybersecurity breaches driven by agent behavior. The post A New Frontier for AI Agents: Cybersecurity appeared first on SAS Blogs.

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After a routine code rejection, an AI agent published a hit piece on someone by name

On Monday, a pull request executed by an AI agent to the popular Python charting library matplotlib turned into a 45-comment debate about whether AI-generated code belongs in open source projects. What made that debate all the more unusual was that the AI agent itself took part, going so far as to publish a blog

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