Building and Covering the latest events, insights and views in the AI and Web3 ecosystem. Building and Covering the latest events, insights and views in the AI and ...

Abstract: Large language models (LLMs) are being woven into software systems at a remarkable pace. When these systems include a back-end database, LLM integration opens new attack surfaces for SQL ...

According to God of Prompt, dynamic per-query scaling in AI models can render $100M large-scale training runs obsolete, allowing companies to deploy smaller, more efficient models that dynamically ...

Abstract: This paper investigates a phenomenon where query-based object detectors mispredict at the last decoding stage while predicting correctly at an intermediate stage. We review the training ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

Key insight: Citi is putting most of its employees through prompt training in the hopes of improving productivity. What's at stake: Poor prompting risks degraded competitiveness and slower operational ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

Harris Legal Support Services, LLC will host a free community Grant Writing Workshop next week at River Parish Community College, offering residents and professionals an opportunity to learn ...

When I was training the Qwen3 MoE series, the loss behaved normally. However, after training, the model was unable to consistently output tool calls, and its performance was very poor. Using the same ...