Agent Eng News

Tuesday, August 25, 2026 · Past edition · 11 stories

Retrospective edition reconstructed from later captures. Paper versions may include later updates; coverage labels describe the evidence used.

1. Model releases & benchmarks

   Model releases & benchmarks

   Granite 4.2 LLMs: How They're Built

   Granite 4.2 pairs three dense model sizes with staged post-training: all receive foundational RL and RLHF, while only the 8B and 30B models train as agents in real environments.

   Why it matters: Model size changes the post-training path, not just the parameter count: 3B skips agentic RL, while 8B and 30B train with tools in real environments. That distinction is useful when matching a model to an agent workflow; the captured benchmark table reports results across model sizes and tasks.

   Original · huggingface (new tab)Read