2025-03-31
Less Is More: Why Retrieving Fewer Documents Can Improve AI Answers
Retrieval-Augmented Generation (RAG) is an approach to building AI systems that combines a language model with an external knowledge source. In simple terms, the AI first searches for relevant documents (like articles or webpages) related to a user’s query, and then uses those documents to generate a more accurate answer. This method has been celebrated […]
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2025-02-28
Engadget Podcast: iPhone 16e review and Amazon's AI-powered Alexa+
The keyword for the iPhone 16e seems to be "compromise." In this episode, Devindra chats with Cherlynn about her iPhone 16e review and try to figure out who this phone is actually for. Also, [...]
2025-01-01
Tech that can help you stick to your New Year’s resolutions
Regardless of how 2024 went for you, 2025 is another chance for all of us to make the new year better than the one that came before it. New Year’s resolutions are usually set with the best intention [...]
2025-03-18
Battle of the dirt-cheap tablets: Amazon Fire HD 8 vs. Walmart Onn 8
Apple’s iPads get all the headlines, and with good reason: They’ve long been considered the best tablets for most people. But none of them come cheap. For folks on a tighter budget, I’ve spent t [...]
2025-03-30
Study finds that fewer documents can lead to better performance in RAG systems
Researchers at the Hebrew University of Jerusalem have discovered that the number of documents processed in Retrieval Augmented Generation (RAG) affects language model performance, even when the total [...]