Category: AI knowledge bases

Anthropic introduced Claude Haiku 5.5, a lightweight model optimized for high‑volume, cost‑sensitive workloads such as classification, extraction, routing and sub‑agent tasks. The release includes a 1‑million‑token context window and a pricing structure aimed at reducing inference costs for repetitive…

Microsoft revealed its Maia 300 inference chip, a custom silicon design intended for Azure and slated for a 2027 multi‑gigawatt rollout, underscoring the company’s push to control the hardware stack for large‑scale AI workloads. At the same time,…

Recent developments are reshaping AI knowledge bases across three fronts. First, researchers from Beijing Institute of Technology and Xiaohongshu introduced a method that “amortizes personalized test-time scaling for LLM agents,” enabling large language models to dynamically select decoding…