date_range 23/03/2026 00:26

Recommender systems have been on a quiet but weird journey over the last few years.

date_range 30/12/2025 01:30

Recommender systems are at the core of many modern products, powering personalized experiences across e-commerce, streaming platforms, and search. From suggesting what to watch next to helping users discover relevant products in massive catalogs, these systems directly impact user engagement, conversion, and overall business outcomes.

date_range 29/10/2025 19:15

How MCP could make connecting AI systems to tools and data as simple as plugging in a cable.

date_range 21/08/2025 19:15

Retrieval-Augmented Generation (RAG) is a cutting-edge approach that combines the strengths of large language models (LLMs) with external knowledge sources, such as vector databases. By integrating retrieval mechanisms, RAG systems can access up-to-date and domain-specific information, significantly improving the relevance and accuracy of generated responses.

date_range 22/09/2024 14:15

Distributed training is crucial for scaling machine learning (ML) models, especially for tasks involving large datasets or complex architectures. The process splits the training workload across multiple machines or GPUs, enabling faster training and greater efficiency. Here’s a breakdown of the key strategies, tools, and platforms that make distributed training effective.