LLMs can compose poetry or write essays. You can specify that these compositions are “in the style of” a noted poet or author ...

EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

Announcing the Fabricate Data Agent, synthetic data generation via agentic AI. Plus, Structural's Custom Categorical is now AI-assisted, and Model-based Custom Entities are coming to Textual!

To protect private information stored in text embeddings, it’s essential to de-identify the text before embedding and storing it in a vector database. In this article, we'll demonstrate how to ...

Large language models have been pitched as the next great leap in software development, yet mounting evidence suggests their capabilities are flattening rather than accelerating. That plateau carries ...

Two of the world's biggest AI companies, Google and OpenAI, both warned this week that competitors including China's DeepSeek are probing their models to steal the underlying reasoning, and then copy ...

Abstract: Federated learning (FL) enables collaborative fine tuning of pre-trained language models (PLMs) across user devices by aggregating locally trained model parameters rather than raw data, ...

Abstract: Recent advancements in Large Language Models(LLMs) have significantly improved the diversity and quality of LLM-generated texts. The remarkable ability to understand and generate complex ...

LLM-assisted manuscripts exhibit more complexity of the written word but are lower in research quality, according to a Policy Article by Keigo Kusumegi, Paul Ginsparg, and colleagues that sought to ...

Today, data sits at the heart of almost every digital initiative. But using real customer data for testing, analytics, or AI can be risky, both from a privacy and a compliance standpoint. That is why ...