Tag: General AI Assistants

As foundation models demonstrated fluent conversational performance and solved curated coding exercises, benchmark designers faced a new challenge: evaluating general-purpose personal and enterprise assistants. Traditional natural language processing benchmarks (such as MMLU or Big-Bench) relied on multiple-choice formats or closed-world question answering. These evaluations measured fact retrieval from static weights rather than the capacity to […]