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Retrieved on: 2024-08-03 06:07:16
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Summary
The article discusses using 'programming' techniques for implementing a Retrieval-Augmented Generation (RAG) framework, enhancing large language models with external data. Tags like 'Natural language processing', 'Deep learning', and 'Machine learning' are essential for RAG operations, demonstrating connections to 'Computational linguistics', 'Unsupervised learning', 'Prompt engineering', and 'Vector database', all relevant in the article's context. Technologies like AWS Bedrock contribute to model selection for these tasks.
Article found on: thenewstack.io
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