Feed AutoQuizzer a URL and it will use LLaMa-3 to make a decent multiple-choice test
A developer has put large language models to the test, literally, by creating AutoQuizzer – a tool that creates quizzes from text on web pages.
In our testing, it only took a second or two to create a quiz, which users can complete themselves or hand back to be answered by the AI system. When the app itself takes the quiz, you have the option to force it into a"closed book exam" mode, in which the model relies just on the page topic, the questions, and any information it was trained on to pick an answer. Alternatively, the AI can be allowed to consider the top three Google search results regarding the topic of the web page.
Other small LLMs didn't pan out."I tried Phi-3-mini by Microsoft because it has very good performance on benchmarks, despite its small size: it has fewer than 4 billion parameters. Compared to LLaMa-3, it failed to produce valid JSON, and the quiz questions sometimes were too easy or poorly created," Fiorucci said.
We did find some quirks. Some questions had duplicated or very similar answer choices, or answers that didn't completely address the question.relocation opportunities to Chinese employees prompted the AI to ask:"What is the reason for the increased tariffs on electric vehicles in China, according to the article?" The correct answer was:"Due to US President Joe Biden's decision.
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