The article discusses the significance of batch inference for large language models, particularly in the context of the GenAI era where diverse data sources, including images, audio, and text, are prevalent. Cody, a staff software engineer at Anyscale, emphasizes the need for effective processing of these multi-modal data types to generate useful outputs for applications such as customer service and model training. The advent of large language models and their capabilities underscores the importance of scaling inference solutions in real-world applications.
At the same time, the demand of the batch inference is also getting higher. This is mainly because we now have multi-modality data sources.
We are in the GenAI era, where large language models can generate text, images, and even videos, greatly enhancing online services.
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