QUESTION: 13 Exam Topic: 1, Part 1

All of the following are common optimization techniques in deep learning to determine weights that represent the strength of the connection between artificial neurons EXCEPT?

Gradient descent, which initially sets weights arbitrary values, and then at each step changes them.
Momentum, which improves the convergence speed and stability of neural network training.
Autoregression, which analyzes and makes predictions about time-series data.
Backpropagation, which starts from the last layer working backwards.

Answer(s): C

Explanation:

Autoregression is not a common optimization technique in deep learning to determine weights for artificial neurons. Common techniques include gradient descent, momentum, and backpropagation. Autoregression is more commonly associated with time-series analysis and forecasting rather than neural network optimization.

Reference:

AIGP BODY OF KNOWLEDGE, which discusses common optimization techniques used in deep learning.

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QUESTION: 14 Exam Topic: 1, Part 1

What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?

GPUs run many tasks concurrently, resulting in faster processing.
GPUs can access memory quickly, resulting in lower latency than CPUs.
GPUs can run every task on a computer, making them more robust than CPUs.
The number of transistors on GPUs doubles every two years, making the chips smaller and lighter.

Answer(s): A

Explanation:

GPUs (Graphical Processing Units) are well-suited to running AI applications due to their ability to run many tasks concurrently, which significantly enhances processing speed. This parallel processing capability makes GPUs ideal for handling the large-scale computations required in AI and deep learning tasks.

Reference:

AIGP BODY OF KNOWLEDGE, which explains the importance of compute infrastructure in AI applications.

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QUESTION: 15 Exam Topic: 1, Part 1

Which of the following best defines an "Al model"?

A system that applies defined rules to execute tasks.
A system of controls that is used to govern an Al algorithm.
A corpus of data which an Al algorithm analyzes to make predictions.
A program that has been trained on a set of data to find patterns within the data.

Answer(s): D

Explanation:

An AI model is best defined as a program that has been trained on a set of data to find patterns within that data. This definition captures the essence of machine learning, where the model learns from the data to make predictions or decisions.

Reference:

AIGP BODY OF KNOWLEDGE, which provides a detailed explanation of AI models and their training processes.

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QUESTION: 16 Exam Topic: 1, Part 1

CASE STUDY
Please use the following answer the next question:
Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative Al to create the enrichment courses, and that many of the students are using generative Al to complete their assignments. In particular, GVC has learned that the teachers they employ used open source large language models ("LLM") to develop an online tool that customizes study questions for individual students. GVC has also discovered that an art teacher has expressly incorporated the use of generative Al into the curriculum to enable students to use prompts to create digital art. GVC has started to investigate these practices and develop a process to monitor any use of generative Al, including by teachers and students, going forward.
Which of the following risks should be of the highest concern to individual teachers using generative Al to ensure students learn the course material?

Financial cost.
Model accuracy.
Technical complexity.
Copyright infringement.

Answer(s): B

Explanation:

The highest concern for individual teachers using generative AI to ensure students learn the course material is model accuracy. Ensuring that the AI-generated content is accurate and relevant to the curriculum is crucial for effective learning. If the AI model produces inaccurate or irrelevant content, it can mislead students and hinder their understanding of the subject matter.

Reference:

According to the AIGP Body of Knowledge, one of the core risks posed by AI systems is the accuracy of the data and models used. Ensuring the accuracy of AI-generated content is essential for maintaining the integrity of the educational material and achieving the desired learning outcomes.

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Free AIGP Exam Braindumps (page: 4)

QUESTION: 13 Exam Topic: 1, Part 1

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QUESTION: 14 Exam Topic: 1, Part 1

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QUESTION: 15 Exam Topic: 1, Part 1

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QUESTION: 16 Exam Topic: 1, Part 1

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