Embedding adapters

In-Depth Explanation of Adapter Techniques in NLP

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In-Depth Explanation of Adapter Techniques in NLP

MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The vision of the community is to promote communication between academia, industry, and enthusiasts in natural language processing and machine learning, especially … Read more

In-Depth Explanation of Adapter Technology in NLP

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In-Depth Explanation of Adapter Technology in NLP

Delivering NLP technical insights to you daily! © Author | Wu Di Institution | UCLA Research Direction | NLP Typesetting | PaperWeekly Introduction In modern natural language processing (NLP) applications, using pre-trained representations for transfer learning is an important method. After deep learning began to be applied, transfer learning first appeared in the use of … Read more

Three Advanced Retrieval Techniques in RAG

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Three Advanced Retrieval Techniques in RAG

Source: DeepHub IMBA This article is about 3000 words long and is recommended to be read in 5 minutes. This article will explore three effective techniques to enhance document retrieval in applications based on <strong>RAG</strong>. By combining these techniques, it is possible to retrieve documents that closely match user queries, thus generating better answers. The … Read more