Batch Inference with Open Source LLMs

Batch Inference with Open Source LLMs involves the process of running multiple inference tasks simultaneously using freely available LLMs such as GPT (Generative Pre-trained Transformer) models. This approach enables users to efficiently generate predictions, responses, or insights for a large volume of input data in a batch mode, optimizing computational resources and reducing processing time.