[Feature] Combine Batched Inference and Chat Conversation in VLMs Deployment

### Motivation

In the `Vision-Language Models (VLMs) Deployment` section, particularly under the `Offline Inference Pipeline`, there are examples that demonstrate two separate functionalities:

- Running batched inference.
- Running a chat conversation, which processes multiple inputs.

I’m wondering if there's a way to combine both approaches. Specifically, I’d like to provide a list of lists, where each list represents a conversation (composed of tuples of (text, image) pairs, or just text). The goal would be to run batched inference for 8 conversations at a time.

This would streamline scenarios involving multiple conversations with image and text inputs. Is there any existing support for this, or could this be considered as a new feature?

Thanks in advance!

### Related resources

_No response_

### Additional context

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