Instead of folders and tags, I built a mental map of my knowledge using NotebookLM ...

由对抗样本发现的神经网络敏感性（理论背景包括决策边界的不连续性等），正是可重编程性的基础。我们不再将这种敏感性仅视为安全缺陷，而是建设性地利用它，在不重新训练的情况下将预训练模型重定向到新的任务。精心设计的 program/prompt 可以将神经网络感知的弱点转化为高效的适配机制。

What if your database could not only answer your queries but also learn from them, growing smarter and more intuitive with every interaction? Imagine an AI-powered agent that understands your intent, ...

New natural-language query engine combines AI, vector search, and retrieval-augmented generation to deliver accurate, cited answers across structured and unstructured data Seattle-Tacoma, WA, ...

Objective: Our objective was to evaluate employing Large Language Models (LLMs) to systematically transform the rich, unstructured textual data from AskDocs into a structured dataset, an approach that ...

Abstract: This paper mainly focuses on the implementation of Marathi Language Query Interface (MLQI) for a Geographical Information System (GIS) based database system. In this paper, we discuss the ...

Glean:GO -- Work AI leader Glean today announced a strategic collaboration with Snowflake, the AI Data Cloud company, to simplify and accelerate structured data analysis for enterprises. Through this ...

At its Cloud Next conference, Google is showing off a new AI engine for AlloyDB that enables developers to embed natural language questions in SQL queries. Google is enhancing AlloyDB, its fully ...

🛠️ SQLMongo - A PyPI package for converting SQL queries to MongoDB queries and vice versa. Effortlessly translate between relational and NoSQL query formats for seamless database interoperability.