Decoding AI and Emerging Tech
Decoding AI and Emerging Tech
Multi-query retrieval improves coverage, but broader retrieval also increases noise. In production-grade AI search systems, reranking is the layer that decides which evidence is…
Modern AI search engines rely on complex retrieval pipelines before generating answers. One important technique used to improve search coverage is multi-query expansion, which…
Microsoft’s VibeVoice has had a dramatic journey—from its 2025 breakthrough as a long-form conversational voice model to a shutdown over misuse concerns and a…
TRIBE v2 is Meta AI’s new multimodal model that predicts human brain activity from video, audio, and language inputs using large-scale fMRI data, enabling…
Google Research has introduced TurboQuant, a new algorithm that compresses the key-value cache used by large language models without sacrificing accuracy. By reducing memory…
Modern AI search engines are no longer simple keyword lookup systems. They combine semantic retrieval, intelligent reranking, model routing, and streaming generation to deliver…
