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All tracked setups →I created this page to apply data envelopment analysis to find the Pareto frontier of cost and benchmark scores. The goal is to identify the cheapest model or a theoretical blend of models applied to tasks that meets... Context & related coverage →
LLM coding agents can increasingly automate model post-training, but whether they can act as forward-deployed engineer (FDE) agents, discovering customer requirements and turning them into deployment decisions, remain... Context & related coverage →
Nimisha Asthagiri shares how applying proven product engineering and architecture principles creates a bounded canvas for AI agents. She explains how this model provides agents with bounded autonomy, continuous drift... Context & related coverage →
Producing an executable CAD script is not sufficient to establish that an agent has satisfied an engineering design request. Evaluation must also consider the resulting geometry, specified dimensions, and native CAD m... Context & related coverage →
Vision-Language Models (VLMs) hold promise for zero-shot video task-progress estimation in robot learning, yet existing frameworks frequently suffer from confirmation bias, hallucinating progress in failed executions... Context & related coverage →
Organisations increasingly deploy large language model agents that must follow organisational values. We check whether activation steering, which adds vectors to a model's internal activations during generation withou... Context & related coverage →
Discover how Heimstaden uses OpenAI’s ChatGPT Enterprise and Codex to transform property management, cut costs, and empower employees across Europe. Context & related coverage →