`azureml-fsspec` file upload uninformative error

Hey, I am working on some simple EDA in AzureML, and I have successfully set up data asset to facilitate access to blob storage. Following [this documentation](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-access-data-interactive?view=azureml-api-2&tabs=adls#access-data-from-a-datastore-uri-like-a-filesystem), I can easily read data using a number of methods, including creating an `AzureMachineLearningFileSystem` and using it to `.open()` some remote file. However, when I try uploading a file back to blob storage using an instance of `AzureMachineLearningFileSystem` and its `.upload()` method, it just fails with an error message mentioning the remote path I pass to it.

So, given a file system `fs`, local file `local.file.txt`, which I want to upload as `remote.file.txt`, I run the following (based on the sample [here](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-access-data-interactive?view=azureml-api-2&tabs=adls#upload-files-via-azuremachinelearningfilesystem)):
```python
fs.upload(lpath='local.file.txt', rpath='remote.file.txt', recursive=False, **{'overwrite': 'MERGE_WITH_OVERWRITE'})
```
But it results in an error with a lengthy stack trace, ending with:
```
File /anaconda/envs/azureml_py310_sdkv2/lib/python3.10/site-packages/azureml/fsspec/spec.py:146, in AzureMachineLearningFileSystem._info(self, path)
144 if len(self._stream_infos) == 1:
145 return list(self._stream_infos.values())[0]['info']
--> 146 return self._stream_infos[path]['info']

KeyError: 'remote.file.txt'
```
which is not really helpful. Any advice on how to debug this issue?

Reproduce the documented AzureMachineLearningFileSystem.upload example with the shown local and remote paths. Start at azureml/fsspec/spec.py:146 and trace the upload and _info entry points to determine why the remote path is absent from _stream_infos. Done means the failure is either explained with actionable diagnostics or produces an informative error instead of the raw KeyError.

Escrita pelo modelo de indexação a partir do texto da issue.