hyundai margonda official photos - More recently, researchers have been exploring *neural metrics* that leverage the power of LLMs themselves to evaluate summaries. For example, **BERTScore** uses contextual embeddings from BERT to measure the similarity between the generated summary and the reference summary. This allows it to capture semantic similarity more effectively than traditional metrics like ROUGE and BLEU. Another promising approach is to use LLMs to directly assess the quality of summaries. For instance, a pre-trained language model can be fine-tuned to predict a quality score for a given summary based on its coherence, fluency, and relevance. Human evaluation is still considered the gold standard for evaluating summaries. Human evaluators can assess the summaries based on various criteria, such as accuracy, coherence, fluency, and informativeness. However, human evaluation is expensive and time-consuming, so it's not always feasible to use it on a large scale. Therefore, researchers often rely on automatic metrics like ROUGE, BLEU, and BERTScore to evaluate summaries in large-scale experiments.
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Now that we know what Windows Defender is and what it does, let's talk about how to set it up and customize it to fit your needs. The good news is that Windows Defender is usually enabled by default, so you don't have to do much to get it up and running. However, there are a few things you can tweak to make it even more effective.
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