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Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit
Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and conversation history, and the more memory a [...]
DeepSeek drops open-source model that compresses text 10x through images, defying conventions
DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large l [...]
Nvidia says it can shrink LLM memory 20x without changing model weights
Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the mo [...]
New KV cache compaction technique cuts LLM memory 50x without accuracy loss
Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working me [...]
'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks
RAG isn't always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents embedded in production systems, thos [...]
Roborock's new flagship robot vacuum has an arm that can grab small objects
Robot vacuums can remove the dust and dirt on your floor, but you still have to pick up stray socks and and any item strewn about your home. Now Roborock, a Chinese company that manufactures robot vac [...]