BIG Bench

BIG-Bench is a comprehensive benchmark suite designed to evaluate the capabilities of large language models (LLMs) on a diverse range of complex reasoning and problem-solving tasks, pushing the boundaries of current AI capabilities. Research currently focuses on improving LLM performance on challenging BIG-Bench sub-tasks, employing techniques like chain-of-thought prompting and fine-tuning specialized models such as those based on the LLaMA architecture. These efforts aim to better understand the limitations of LLMs and drive advancements in their reasoning abilities, with implications for various fields requiring sophisticated natural language understanding and problem-solving.