We tested Imajev-4B, an open-source Jev alternative, against a 27B LLM for document classification: 98% agreement on decided docs, and one telling failure.
Like most, we’re chasing new solutions for optimizing tokenomics in AI deployments. We've recently been researching KV cache optimization strategies for AI-assisted coding. It's particularly hard to get high KV-cache reuse rates using standard prefix caching, because with each request, a coding agent needs to load code from one or more solution files into context,…