I am doing the course on the deeplearning.ai platform, the problem is persisting.
Does it mean I have to wait for the fix to roll out? I have a pro account.
Thanks in advance
please post a screenshot of what you are encountering now.
chances are you need to get a fresh copy/restore original version, for updates.to.work.
can you try this, and let us know if you still encounter the error? Also make sure to clear off your cache and browsing history before you restore the original version
@Deepti_Prasad I have restored the original version, the problem is that the files are from 4 months ago still, which is why I encounter the error
Hi everyone, I am on the deeplearning.ai platform and I am having the same issue in C1M3_Ungraded_Lab . I tried to clear the browser cache, relog, and reload the original Lab without success. Here is the error I get:
”0%| | 0/20 [00:00<?, ?it/s]{‘message’: ‘Failed to send all objects in a batch of 1’, ‘error’: ‘WeaviateInsertManyAllFailedError(\‘Every object failed during insertion. Here is the set of all errors: fail with status 500: Failed to get correct output from LLM call.\\nException: Error code: 400 - {“message”: “Unable to access non-serverless model BAAI/bge-base-en-v1.5. Please visit https://api.together.ai/models/BAAI/bge-base-en-v1.5 to create and start a new dedicated endpoint for the model.”, “type_”: “invalid_request_error”, “code”: “model_not_available”}\’)’}
{'message': 'Failed to send 1 objects in a batch of 1. Please inspect client.batch.failed_objects or collection.batch.failed_objects for the failed objects.'}
15%|█▌ | 3/20 [00:00<00:01, 16.52it/s]{'message': 'Failed to send all objects in a batch of 1', 'error': 'WeaviateInsertManyAllFailedError(\'Every object failed during insertion. Here is the set of all errors: fail with status 500: Failed to get correct output from LLM call.\\nException: Error code: 400 - {"message": "Unable to access non-serverless model BAAI/bge-base-en-v1.5. Please visit https://api.together.ai/models/BAAI/bge-base-en-v1.5 to create and start a new dedicated endpoint for the model.", "type_": "invalid_request_error", "code": "model_not_available"}\')'}
{'message': 'Failed to send 1 objects in a batch of 1. Please inspect client.batch.failed_objects or collection.batch.failed_objects for the failed objects.'}
{'message': 'Failed to send all objects in a batch of 1', 'error': 'WeaviateInsertManyAllFailedError(\'Every object failed during insertion. Here is the set of all errors: fail with status 500: Failed to get correct output from LLM call.\\nException: Error code: 400 - {"message": "Unable to access non-serverless model BAAI/bge-base-en-v1.5. Please visit https://api.together.ai/models/BAAI/bge-base-en-v1.5 to create and start a new dedicated endpoint for the model.", "type_": "invalid_request_error", "code": "model_not_available"}\')'}
{'message': 'Failed to send 1 objects in a batch of 1. Please inspect client.batch.failed_objects or collection.batch.failed_objects for the failed objects.'}...."
Please let me know when the issue is fixed.
Kind regards
In my case, I needed to switch to the new project (.ipynb) –see in explorer window on the left and open tabs on the right– and the code works as expected in the new one. This is the RAG M3 lab.
Thanks for the fix!
Hi everyone kindly create new topic for your issue instead of commenting on other’s topiv, because looks like some are having issue with graded assignment, some are having upgraded lab.
Also when you create topic please post screenshot of issue, instead of just mentioning i have! the same issue.
Choose the right course category and module lab you encountered issue. in case you aree not able to choose right categories, mention the information in description.
I am closing this. thread as the topic creator issue was related to c1M3 graded assignment and that lab has been fixed.
Hi all,
the issue is also present in the learning platform as well. I’m fixing it and it should be done by today. Since this issue affected Modules 3 - 5, it is taking a while to fix it. I focused on Coursera and I’ll finish in our Learning Platform today.
Once I finish it, I let you guys know.
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