Latest updates for Compress Simulation Cache

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Recent items include:

  • VeriCache: Making Lossy KV Compression Exact
  • Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit
  • The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache

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devshahs.medium.com /2 weeks ago

VeriCache: Making Lossy KV Compression Exact

Long-context inference has made the KV cache one of the main bottlenecks in serving large language models.Continue reading on Medium »

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venturebeat.com /1 month ago

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, a...

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marktechpost.com /4 weeks ago

The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache

The KV cache now outweighs model weights at long context. Here's how TurboQuant, OSCAR, and EpiCache each attack that memory bottleneck — and why they're more complementary than co...

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machinelearningmastery.com /1 week ago

Context vs. Memory Engineering in Agentic AI Systems

Compression on Arrival Tool outputs should be compressed after a call returns, not after the window fills.

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dev.to /1 week ago

How to Compress Images in the Browser with Canvas API (No Uploads, No Server)

How to Compress Images in the Browser with Canvas API Every image you upload to a "free" online compressor is sent to a server — often without you knowing what happens to it afte...

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