Linguists can mix, match or even break the rules of real-world languages to create interesting imaginary ones.

Generic formats like JSON or XML are easier to version than forms. However, they were not originally intended to be ...

Omni-RLM is a high-performance recursive language model framework that enables AI agents to perform complex reasoning tasks through controlled recursive LLM calls. Built with Zig's zero-cost ...

Abstract: Large Language Models (LLMs) undergo continuous updates to improve user experience. However, prior research on the security and safety implications of LLMs has primarily focused on their ...

Abstract: Information Extraction (IE) and Text Classification (CLS) serve as the fundamental pillars of NLU, with both disciplines relying on analyzing input sequences to categorize outputs into ...

A recursive language model framework enhanced with φ-Separation Mathematics, featuring streaming responses, document analysis, REST API, and parallel processing. phi-enhanced-rlm/ ├── README.md # This ...

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 ...

While bonding and stress signals are widespread across species, symbolic computation is a uniquely human capacity. This article examines the intricate relationship between the evolving primate brain ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

Tools for translating natural language into code promise natural, open-ended interaction with databases, web APIs, and other software systems. However, this promise is complicated by the diversity and ...