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Broken. Junk.

Jim B. · Reviewed 4 months ago

Swathi M. · Reviewed 4 months ago

Lab was fixed and is working now

Kamila B. · Reviewed 4 months ago

Piotr Z. · Reviewed 4 months ago

Harold M. · Reviewed 4 months ago

Walter C. · Reviewed 4 months ago

Step Create Document chunks took over an hour (still couldn't get a Task Complete on it), unable to finish this lab since the remaining steps also take a lot of time

Kamila B. · Reviewed 4 months ago

the "Load documentation pages using the LangChain UnstructuredURLLoader" never completes

Adrian B. · Reviewed 4 months ago

Horrible, did not work at all.

Ricardo B. · Reviewed 4 months ago

Deepti S. · Reviewed 4 months ago

Unable to complete step 1 in time allocated, neither can access more powerful CPUs. Reduced the array to smaller number of sites and then loaded and chunked the content, yet unable to mark the first task as complete.

Angshuman D. · Reviewed 4 months ago

Got stuck running

Kody M. · Reviewed 4 months ago

Already in task 1 - Load documentation pages using the LangChain UnstructuredURLLoader, I receive an import error File /opt/conda/lib/python3.10/site-packages/langchain/_api/module_import.py:69, in create_importer.<locals>.import_by_name(name) 68 try: ---> 69 module = importlib.import_module(new_module) 70 except ModuleNotFoundError as e:

Nico C. · Reviewed 4 months ago

The code has bugs and very slow. Getting the documents takes much longer than "a few minutes". It didn't happen even in tens of minutes, so my time is finished. I run this lab the second time and it still does not fit into 90 minutes :( I tried it the third time, it still does not fit into 90m. Worse, the first check does not work :( I don't want to try this lab anymore, it's just a waste of time :((

Grigory S. · Reviewed 4 months ago

waste of time, created all document chunk but still cannot complete task 1

Ong P. · Reviewed 4 months ago

The notebook was stuck while loading the documents

Lav J. · Reviewed 4 months ago

I couldn't finish it

Patricio F. · Reviewed 4 months ago

Walter C. · Reviewed 4 months ago

The creation of the batches was super long (more than 20 minutes) so I decided to create embeddings for only 10 batches

Yandi A. · Reviewed 4 months ago

Sathya Narayanan B. · Reviewed 4 months ago

Got stuck running

Kody M. · Reviewed 4 months ago