**Google’s AI tool, Pathways Language Model (PaLM), has made groundbreaking strides, outperforming humans on a range of language-based tasks.**.
Previously, AI systems struggled with complex reasoning and common-sense knowledge. However, PaLM’s latest advancements have enabled it to excel in these areas, surpassing human performance on benchmarks such as the General Language Understanding Evaluation (GLUE) and the SuperGLUE benchmark..
**These achievements highlight PaLM’s remarkable ability to comprehend and generate human-like text, answer complex questions, and engage in logical reasoning.**.
**One of the most impressive demonstrations of PaLM’s capabilities is its performance on the Winograd Schema Challenge.** This challenge requires AI systems to select the correct pronoun in a sentence based on the context, a task that often requires an understanding of common-sense knowledge..
**PaLM outperformed humans on this challenge, demonstrating its ability to grasp subtle nuances and make inferences based on real-world knowledge.**.
**Similar to humans, PaLM can also learn from少量数据** (few-shot learning). In one experiment, PaLM was able to learn to translate between English and Swahili after being exposed to just a few examples..
**This few-shot learning capability is crucial for real-world applications, where AI systems often need to adapt to new tasks with limited data.**.
**Google AI researcher, Oriol Vinyals,** said:.
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