clovaai/pkm-transformers
Official implementation of PKM-augmented language models (Findings of EMNLP 2020)
This project helps researchers and practitioners working with advanced language models to improve their performance on tasks requiring extensive factual knowledge. By augmenting models with a 'memory' of key information, it allows them to process vast amounts of text more effectively and generate more accurate, contextually relevant outputs. The primary users are natural language processing researchers, machine learning engineers, and data scientists developing AI applications that rely on deep language understanding.
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Use this if you are developing or fine-tuning large language models and need to enhance their ability to recall and utilize a wide range of stored information for improved text generation, question answering, or factual understanding.
Not ideal if you are looking for a ready-to-use application or a tool for basic text processing tasks that do not involve complex memory augmentation of language models.
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Oct 09, 2020
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