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The ungraded Data Labeling lab has an error or typo: # Allow unigrams and bigrams vectorizer = CountVectorizer(ngram_range=(1, 5)) If the comment is correct (i.e. “unigrams and bigrams” only), then the argument passed to CountVectorizer() should be ngram_range(1, 2), not ngram_range(1, 5). Alternati
I have tried multiple times to submit my graded lab, but get ‘An unexpected error occurred’ message for the first module despite all the subsequent modules passing. The module that failed with the error said no feedback for this error. 3 posts - 3 participants Read full topic
The incident started with a boring support automation task. Take a user request, search a private document index, summarize the answer, and hand the result to a reviewer. Nothing heroic. The kind of Python agent you build when the demo is over and the real workflow begins. Then one run got stuck in
Making AI-Generated Code Fail Gracefully If your app generates code with an LLM and executes it, you already know the dirty secret: it fails a lot. Not catastrophically — just wrong method names, bad assumptions about state, off-by-one stuff. The kind of errors a human would fix in 10 seconds. The q
Error Handling in Node.js: Beyond Try/Catch (2026) Good error handling isn't about catching errors — it's about handling them gracefully so your app stays running. Bad error handling: → try/catch everything silently → bugs disappear, no one knows why → console.error(err) and move on → logs nobody re
