Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

Abstract: Recommendation systems are becoming essential components of contemporary online goods and services, and they significantly affect customer satisfaction. Recommendation systems are designed ...

Agentic systems are probabilistic and must be designed with guidance, validation, and guardrails rather than treated like deterministic software. The most reliable architectures combine LLM-driven ...

Abstract: The recommendation system, as a widely used and effective tool to alleviate information overload, has been receiving increasing attention regarding its issues of bias and fairness. Many ...