AI Applications

Cohere Releases North Mini Code: 30B MoE Model for Agentic Coding

Cohere's North Mini Code is a 30B MoE model optimized for agentic coding, featuring a novel two-stage SFT and asynchronous RLVR pipeline. It achieves 33.4 on the Artificial Analysis Coding Index, outperforming models like Qwen3.5 and Gemma 4. The technical report details cross-harness training that yields free improvements (e.g., 61.0% pass@1 on SWE-Bench with mini-SWE-agent) and online RL that cuts invalid tool calls by rewarding only valid outputs.

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How Trustpilot built real-time data enrichment with fine-tuned Gemma

Trustpilot built a real-time streaming pipeline for review intelligence by fine-tuning Gemma-2-9b models, achieving frontier-model quality on fixed-cost infrastructure. Their approach decouples business logic from LLM inference and uses teacher model consensus for training data, but teams should plan for GPU scarcity and private networking headaches.

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