Massive Multitask Agent Understanding (MMAU)
The new Massive Multitask Agent Understanding (MMAU) benchmark evaluates large language models features
While beneficial, current benchmarks often focus on specific application settings and task fulfilment without assessing the underlying skills
Setting up these settings is laborious, and reproducibility and reliability issues may arise, especially in interactive jobs
Understanding, Reasoning, Planning, Problem-solving, and Self-correction are the five key competencies covered by Graph (DAG) QA
Researchers provide comprehensive and perceptive assessments by evaluating 18 representative models on MMAU
When an LLM comes across a challenging maths problem, several skills are needed to answer it
MMAU is made up of 3,220 unique prompts that are collected from various data sources
The five main skills that MMAU looks for in models are comprehension, reasoning, planning, problem-solving, and self-correction
For more details visit Govindhtech.com