2025-10-11： 大纲逻辑优化，支持更长章节的大纲生成，现在可以限制章节最少数量，以及是否开启分卷功能 ...
In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...
Abstract: This work investigates the application of Text-to-SQL techniques to improve access to industrial maintenance data using Large Language Models (LLMs) in Portuguese. We design and implement a ...
Abstract: The in-context learning capability of Large Language Models has achieved significant success in text-to-SQL task. Most existed approaches generally adopt a straightforward three-stage ...
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Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...
What if you could build an autonomous system that not only executes complex, long-running tasks but also adapts to evolving challenges with remarkable precision? Enter Deep Agents, a innovative ...
A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...
What if you could build your own AI agent, one that operates entirely on your local machine, free from cloud dependencies and API costs? Imagine having complete control over your data, making sure ...
Redpanda, the real-time data platform for the agentic enterprise, today announced the availability of the Agentic Data Plane (ADP) - a new suite for safely and scalably connecting AI Agents across the ...
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