The retrieval-augmented generation (RAG) process has gained popularity due to its potential to enhance the understanding of large language models (LLMs), providing them with context and helping to…

Aishwary Gupta

Venture Capital

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This post explores four common natural language processing techniques to clean text before ingestion in large language models. It highlights the importance of data cleaning to ensure accuracy, improve quality, and facilitate analysis. The post also discusses the use of retrieval-augmented generation (RAG) in enhancing the performance of large language models.

Four Data Cleaning Techniques to Improve Large Language Model (LLM) Performance