Sub-headline: BUPT researchers introduce SEA-SQL to tackle complex SQL generation via adaptive bias elimination and execution feedback.

AI safeguards can backfire when models learn to mimic the signals meant to verify truth. In one system, memory design and ...

CVE-2026-42208 exploited within 36 hours of disclosure, exposing LiteLLM credentials, risking cloud account compromise.

Connecting an LLM to your proprietary data via RAG is a massive liability; without document-level access controls, your AI is ...

However, a new study warns that the same capabilities driving their adoption are also creating a broad and evolving landscape of security, privacy, and ethical risks that existing safeguards are ...

There is a quiet assumption running through most enterprise GenAI deployments: if the output looks right, it is right. In low-stakes environments, that is a reasonable shortcut. In regulated ...

A misconception is currently thriving in the industry that one can become a Generative AI expert without learning ...

Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the ...

MCP Is great, but it isn’t the whole AI answer ...

Constructive, the company behind open-source Postgres and JavaScript infrastructure with over 100 million open-source ...

Learn how XAI and LLM observability are transforming GenAI deployments, ensuring trust and reliability in AI-driven insights.

New guides on running large language models (LLMs) locally are making it easier for creators to interpret model specifications and select suitable AI models, potentially transforming AI quiz ...