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 ...

Content creators serve at the pleasure of a system few people seem to understand. “That’s the secret everyone wants to know,” ...

Explore how streaming algorithms, personalization, and the content pipeline work together to power recommendation engine systems and shape what viewers see on streaming platforms. Pixabay, SunnyMuneko ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published official guidance about what it is and what they feel publishers should know ...

Google published a research paper about helping recommender systems understand what users mean when they interact with them. Their goal with this new approach is to overcome the limitations inherent ...

It looks like Meta's Vibes feed is just the start of the company's pivot toward AI slop. In an earnings call, CEO Mark Zuckerberg said that "we're going to add yet another huge corpus of content" to ...

Abstract: Content based recommendation system is an effective online information filtering tool, widely popularized by changing computer user habits, personalization trends, and the emergence of ...

Content-based recommendation system using Python, t-SNE, and Bokeh to suggest moisturizers for dry skin based on ingredient similarity.