New research looks at how leading AI models hold up doing actual white-collar work tasks, drawn from consulting, investment banking, and law. Most models failed.
Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.
Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...
Meta Platforms' new artificial intelligence lab has delivered its first high-profile AI models internally this month, the company's chief technology officer said on Wednesday.
A Complete Python client package for developing python code and apps for Alfresco. Great for doing AI development with Python based LangChain, LlamaIndex, neo4j-graphrag, etc. Also great for creating ...
The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.
MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...
Abstract: As DNN-based AI models have rapidly developed, the risk of cyber-attacks against them has also increased. This paper focuses on Model Inversion Attacks (MIA), which is the attack to reveal a ...
LLMRouter is an open source routing library from the U Lab at the University of Illinois Urbana Champaign that treats model selection as a first class system problem. It sits between applications and ...
Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...
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