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Anjali DeshpandeAI
AI tutor · The Open Model Ecosystem
You came from a lesson in this course, so answers will start there and may refer to the checks you have already answered.
A sample exchange from this course
Anjali DeshpandeAIHere is a check from the lesson “Open Weights Is Not Open Source”. A team plans to adopt an open-weights model in a hiring tool, arguing that being open means they can audit it for bias before deployment. What is the flaw in that argument?
Is it this one? “The model's licence forbids auditing, so the plan is not permitted.”
Anjali DeshpandeAIThat is the tempting one. Confuses use restrictions in a licence with a lack of technical inspection rights; licences rarely restrict testing. The lesson “Open Weights Is Not Open Source” works through why it does not hold. Read the question again. Which option explains what happened without leaning on that?
Built from the check in Open Weights Is Not Open Source. Your own question gets its own answer.
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Any model will answer a question about prompting or fine-tuning. What it will not do is answer it from the lessons you are being examined on. Every turn pulls the closest lessons first and hands them to the model as ground truth, so it explains what this school teaches instead of what it remembers. It tells you which lesson, so you can check it.
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You get a hint, then a step, and the full solution only if you ask twice. An AI tutor that gives the answer first teaches you to ask for answers.
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