Understanding the differences between virtual language model (vLLMs) and transformer backends for document parsing.
- Models that read documents of varying lengths and types of documents (e.g. invoices, bank transactions, large text-based documents, image scans, tabular documents, etc.) are required.
- Models that read these documents quickly and efficiently, even if documents are multi-page are essential.
- Models that are easy to run and use by Data Scientists are essential.
- Are document parsing visual language models that use a vLLM backend better suited to the Business Use Case than models that use a transformer backend?