From the course: Top 10 Skills for AI Engineer/AI Ops Engineers
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Communication and problem-solving
From the course: Top 10 Skills for AI Engineer/AI Ops Engineers
Communication and problem-solving
In today's world, AI has become omnipresent, tackling various tasks ranging from search engines to autonomous cars. Despite its widespread adoption, AI systems face unique problems that require effective communication and problem-solving strategies to remain relevant and efficient. One example of a common communication problem is the lack of meaningful interaction between the AI models and their human operators. Interactions can be problematic when human operators don't understand the AI models' decision-making processes. On the other hand, problem-solving algorithms face issues when they don't receive the right inputs or don't process data adequately. When AI-powered communication and problem-solving systems work together with human operators, the results are incredible. One such example is the AI-powered virtual assistant that responds to voice commands, providing answers to various queries in a natural language format that has revolutionized the way we interact with machines…
Contents
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Skills for AI engineers2m 44s
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Programming languages4m 21s
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Machine learning3m 20s
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Deep learning2m 39s
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Data processing and analysis2m 50s
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Natural language processing3m 35s
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Computer vision2m 48s
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Cloud computing2m 33s
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Big data technologies2m 36s
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DevOps and AIOps3m 23s
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Communication and problem-solving2m 42s
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See you in the next course1m 1s
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