Two Models Talking Through KV Cache Instead of Text
When one model hands work to another, it writes words. Those words get tokenized, embedded, and re-expanded into internal state that the first model already had. An ICLR 2026 paper skips that round trip entirely, projecting one model's KV cache straight into another's, and reports a 2.5x latency sp…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-09-20 20:14 · DEV Community — Machine Learning
Two Models Talking Through KV Cache Instead of Text
More stories
- Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
- Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
- NVIDIA CEO Jensen Huang rejects ‘AI will end the world’ claim, yet cautions ‘we should go as fast as we can but...’ — Mint AI
- Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
- Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
- Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
- Meet the Data Agent in ChatGPT Work — OpenAI YouTube
- Qwen Image 2.1 PR to ComfyUI — r/StableDiffusion
Get the daily brief of stories like this at 6:30 every morning →