It sounds trivial, almost too silly to be a line item on a CFO’s dashboard. But in a usage-metered world, sloppy typing is a ...
Two major milestones: finalizing my database choice and successfully running a local model for data extraction.
“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
Overview Leading voice AI frameworks power realistic, fast, and scalable conversational agents across enterprise, consumer, ...
Abstract: With the development of 6G endogenous intelligence, retrieval-augmented generation (RAG) based on large language models (LLMs) becomes one of its key technologies due to its ability to ...
Near-Linear Scalability: The multi-controller paradigm eliminates central bottlenecks by distributing control logic and data management across all workers, enabling near-linear scalability to ...
TradeTrap is a community-driven and developer-friendly tool for testing LLM-based trading Agents' reliability. A slight perturbation to the input instructions for LLM-based agents can upend an entire ...
Abstract: To address the challenges posed by the complex structure, large volume of information, slow manual interpretation, and low accuracy of coal mine safety monitoring system drawings, this paper ...
Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...
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