Implementing Batched Queries with LLMs: Handling Large Datasets Efficiently

Large Language Models (LLMs) have become essential tools for various data processing tasks, including data labeling, classification, and enrichment. However, when working with substantial datasets, context windows size starts getting in the way/ Also, as the dataset itself grows, the hallucinations increase too. Effective way I have found to mitigate this problem is using batched queries with L...