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

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.

Abstract: Recommender systems (RSs) are software systems that use machine learning techniques to suggest items, such as movies, products or routes to users based on input provided over time. These ...

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 ...