Merge pull request #305 from NYU-RTS/minor-cleanup

minor cleanup

Author: s-sajid-ali

docs/genai/04_how_to_guides/04_batch_inference.md

@@ -1,6 +1,6 @@
 # Batch Inference
 
-When immediate results are not needed, for instance in transforming large datasets of unstructured data with LLMs, batch inference adds convenience while offering lower costs. Typical completion window are 24/48h as LLM inference providers run your workload when the load on the inference server is low. If you are interested in harnessing this feature, reach out to us at [`genai-research-support@nyu.edu`](mailto:genai-research-support@nyu.edu) and we will set up a cloud storage bucket for you.
+When immediate results are not needed, for instance in transforming large datasets of unstructured data with LLMs, batch inference adds convenience while offering lower costs. The typical completion window is 24h as LLM inference providers run your workload when the load on the inference server is low. If you are interested in harnessing this feature, reach out to us at [`genai-research-support@nyu.edu`](mailto:genai-research-support@nyu.edu) and we will set up a cloud storage bucket for you.
 
 :::info
 Batch processing is only supported for LLMs that can be accessed via the `@vertexai` provider.