ChatGPT Clears Google’s Engineering Interview
Adding to its feat of clearing professional examinations, ChatGPT recently cleared Google’s coding interview for L3 position. Considered one of the toughest interviews to crack, ChatGPT aced the role, whose annual compensation is around $183000. This brings focus back on the discussion of jobs that can be threatened by ChatGPT, and the question of whether AI can truly eliminate human elements. A few weeks ago, ChatGPT also cleared the coding exam for Amazon interview, but a few flaws were observed with ChatGPT’s answers to the company’s coding questions. They were not efficient and had “buggy” implementation. However, ChatGPT was able to give the right answers and even improve the codes, explains an Amazon machine learning engineer. “I’m both scared and excited to see what impact this will have on the way we conduct coding interviews,” he said. As reported by CNBC, the test was part of Google’s experiments conducted on AI chatbots to assess and probably adapt to their chat models. Last month, ChatGPT cleared the United States Medical Licensing Exam (USMLE). This is in addition to clearing other professional exams as a series of experiments conducted by researchers and scientists from various fields. Christian Terwiesch, a professor at the University of Pennsylvania’s Wharton School, tested ChatGPT on his operation management course as part of the MBA curriculum, and it scored B- which is better than average. The chatbot could ace basic operations management and process-analysis questions, but advanced-level prompts and basic math were where it failed. ChatGPT also cleared four law exams from the University of Minnesota Law School with a C grade. Although the bot cleared the exam, it did not fare well in maths and failed to spot issues in open-ended prompts, which is one of the core skills required in law school exams. While ChatGPT has been able to clear exams related to framed theories and processes from various professional streams, it has struggled with ambiguity elements where reasoning is required.
It cleared Amazon’s coding questions too, however, they were not efficient and had “buggy” implementation.
It cleared Amazon's coding questions too, however, they were not efficient and had "buggy" implementation.
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As a rare blend of engineering, MBA, and journalism degree, Vandana Nair brings a unique combination of technical know-how, business acumen, and storytelling skills to the table. Her insatiable curiosity for all things startups, businesses, and AI technologies ensures that there's always a fresh and insightful perspective to her reporting. She now hosts her tech segment 'Point Break' on AIM Tv.