Knowledge check

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What is the primary objective of horizon scanning in the context of ML and AI?

A. To identify new programming languages for ML.B. To monitor technological trends and developments that could impact AI and ML practices.C. To assess the quality of existing ML algorithms.D. To ensure compliance with ethical standards in AI development.

Which of the following best describes Agentic AI?

A. AI that can only operate within predefined boundaries set by humans.B. AI capable of making decisions and acting autonomously based on learnt knowledge.C. AI that requires constant supervision to perform tasks.D. AI that only performs simple tasks like data retrieval.

What is a key trend in the field of AI ethics and sustainability?

A. The rise of AI systems that operate without energy consumption.B. The development of AI systems that are more energy-efficient and ethically aligned.C. The introduction of more AI regulations that restrict AI development.D. The use of AI only in industries that focus on sustainability.

What is the primary purpose of integrating AI with edge computing?

A. To improve the accuracy of AI models.B. To enable real-time AI processing closer to the data source on local devices.C. To create centralised AI systems that use cloud infrastructure.D. To enhance the speed of AI algorithm training.

How can professionals stay current in the rapidly evolving fields of ML and AI?

A. By only attending formal training programmes.B. Through self-directed learning, horizon scanning and engaging with professional networks.C. By sticking to the most popular, well-established algorithms.D. By focusing solely on the technical aspects of AI.

Which of the following is a primary benefit of horizon scanning in the ML/AI industry?

A. Identifying immediate solutions to current business problems.B. Providing insights into future technological developments that can drive innovation.C. Guaranteeing the success of new AI products.D. Replacing traditional research and development methods in AI.

What is an example of using initiative and innovation in the context of self-directed learning in AI?

A. Reading only textbooks related to AI.B. Actively seeking out new research papers, attending conferences and engaging with professional communities.C. Following the same learning path as everyone else.D. Focusing only on learning about AI hardware.

What is the significance of Small Language Models in emerging AI technologies?

A. They are primarily used for image recognition tasks.B. They enable more efficient and specialised language processing, often in resource-constrained environments.C. They are less capable than large models but more scalable.D. They have no practical applications yet.

What is the impact of advancements in AI hardware and infrastructure?

A. They allow AI to process data faster and more efficiently, enabling more sophisticated models.B. They make AI systems less energy-efficient.C. They are irrelevant to AI model development.D. They only benefit large tech companies and not smaller organisations.

Why is it essential to critically evaluate methods for identifying emerging trends in ML and AI?

A. To ensure that organisations only follow trends with proven success.B. To avoid investing in trends that may lead to technological obsolescence.C. To limit innovation and reduce risk.D. To focus on only a few technologies instead of exploring a broad range.

Action item: Knowledge check

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