InfoWorld

Meta shows structured prompts can make LLMs more reliable for code review

A new “semi-formal reasoning” approach forces AI models to trace code paths and justify conclusions, improving accuracy while ...

Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...

Chronograph Adds Semantic Search to Its AI Suite, Bringing Deeper Document Intelligence to Limited Partner Portfolios

Chronograph, a leading technology provider of portfolio monitoring, valuations, and analytics for private capital investors, today announced the launch of Semantic Search. The new AI-powered ...

IC Manage Advances GDP-XL to GDP-AI – Boosting Designer Efficiency and Accelerating Workflows

IC Manage, Inc. today announced GDP-AI, the AI-driven evolution of its industry-leading GDP-XL design data and IP management system. Existing GDP-XL customers will gain powerful new generative and ...
NextBigFuture

Nvidia Structured Data is the Ground Truth of AI – $120 Billion Structure Data Ecosystem

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...
IEEE

CCS-SQL: Enhancing Text-to-SQL Framework for Computational Queries via Large Language Models

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...
Inc

Are LTMs the Next LLMs? This New Type of AI Can Do What Large-Language Models Can’t

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...
IEEE

Structured Extraction and BPMN Generation From Chinese Procedural Texts via Hybrid Attention-Based Domain Language Models

Abstract: Understanding and modeling workflows is crucial for advancing digital transformation and intelligent process management in the electric power industry. While recent progress in large ...