Enhancing Large Language Models (LLMs) Through Self-Correction Approaches

Large language models (LLMs) have achieved amazing results in a variety of Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG) tasks in recent years. These successes have been consistently documented across diverse benchmarks, and these models have showcased impressive capabilities in language understanding. From reasoning to highlighting undesired and inconsistent […]

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