MGT00154 AI for Innovation and Entrepreneurship Module Overview

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What is the primary aim of attending the 'Technology behind AI/Machine Learning under the Hood' module?

To gain a conceptual understanding of the technical aspects of AI

What kind of understanding will students gain by attending the 'Technology behind AI/Machine Learning under the Hood' module?

Conceptual understanding of the technical aspects of AI

What is the main focus of the text?

Exploring the technical side of AI

Which topic is NOT explicitly mentioned in the text?

Building Generative AI models

What is the main purpose of backpropagation in deep learning?

To fit weights and enable accurate predictions

What distinguishes supervised machine learning from unsupervised machine learning?

The use of labeled training data

What does reinforcement machine learning involve?

Learning iteratively to perform a task by continuously trying and receiving rewards

What is the essential property of features in the context of machine learning?

They are used to enable predictions

What is the focus of the 'Generative AI and Prompt Engineering' module?

Hands-on exercise on prompt engineering

Why is it essential for students to attend the 'Generative AI and Prompt Engineering' session?

To gain insights into the applications and implications of Generative AI

What skill is described as 'beneficial throughout the course and beyond' in the module overview?

Mastering the art of writing prompts

What is one of the learning objectives related to incorporating Generative AI into an organization?

Understand both the business and technical aspects of incorporating LLMs into an organization

What aspect of Generative AI does the module aim to make students aware of?

The need for governance mechanisms

What will students learn in the latter half of the 'Generative AI and Prompt Engineering' session?

Various techniques, strategies, and tips to craft effective prompts

What is described as a 'crucial component' in utilizing Language Learning Models effectively?

Acquiring practical skills in prompt engineering

What is highlighted as a valuable skill for students aspiring to delve deeper into AI applications and innovations?

Mastering the art of writing prompts

What is the aim of the 'Technology behind AI or Machine Learning under the Hood' module?

To demystify the process of building machine learning algorithms and explain different machine learning styles

What is the primary focus of the 'Generative AI and Prompt Engineering' session?

Incorporating generative AI into an organization

What does reinforcement machine learning involve?

Improving performance based on feedback from the environment

What is the main purpose of backpropagation in deep learning?

To optimize the weights of a neural network by minimizing prediction errors

What distinguishes supervised machine learning from unsupervised machine learning?

Supervised learning deals with labeled training data, while unsupervised learning deals with unlabeled data

What is described as a 'crucial component' in utilizing Language Learning Models effectively?

Understanding the socio-cultural context of language usage

What is one of the learning objectives related to incorporating Generative AI into an organization?

To enhance the creative capabilities of AI systems through generative models

What does the latter half of the 'Generative AI and Prompt Engineering' session aim to make students aware of?

The ethical implications of utilizing generative AI in business contexts

'Technology behind AI or Machine Learning under the Hood' module offers a unique opportunity to understand what aspect?

'Technology behind AI or Machine Learning under the Hood' module offers a unique opportunity to understand the diverse styles of machine learning.

What skill is described as 'beneficial throughout the course and beyond' in the module overview?

Understanding statistical analysis techniques

What is highlighted as a valuable skill for students aspiring to delve deeper into AI applications and innovations?

Mastering interpretability and explainability in AI models

What distinguishes supervised machine learning from reinforcement machine learning?

Supervised learning uses labeled training data, while reinforcement learning improves performance based on feedback from the environment.

Which type of machine learning uses labeled training data to learn the relation between a given input and output (label)?

Supervised Machine Learning

What is the primary focus of Artificial Neural Networks (Deep Learning)?

Processing inputs and fitting weights to generate an output

What is the essential property of features in the context of machine learning?

Important properties of a given subject used to enable predictions

Which type of machine learning aims towards enabling the model to make accurate predictions on unseen data?

Supervised Machine Learning

What is the main purpose of backpropagation in deep learning?

Fitting weights to generate an output

What does Reinforcement Machine Learning involve?

Learning iteratively to perform a task by continuously trying and receiving positive or negative rewards

What distinguishes Semi-Supervised Machine Learning from Supervised and Unsupervised Machine Learning?

It works with both labeled and unlabeled data, combining elements of both supervised and unsupervised learning

What are the important properties of features in the context of machine learning?

They are the important properties of a given subject used to enable predictions.

What is the high-level conceptual understanding achieved through AI Technology?

A conceptual grasp of the technical side of AI.

What is the goal of Julia Gottfriedsen at OroraTech?

To create carbon-neutral future through technological innovation.

What is the primary focus of the 'Generative AI and Prompt Engineering' module?

Leveraging Generative AI’s application potential

Why is it essential for students to attend the 'Generative AI and Prompt Engineering' session?

To gain practical skills in prompt engineering

What kind of understanding will students gain by attending the 'Technology behind AI/Machine Learning under the Hood' module?

Gaining insights into the applications and implications of Generative AI

What distinguishes supervised machine learning from unsupervised machine learning?

The availability of labeled training data

What is one of the learning objectives related to incorporating Generative AI into an organization?

Understanding both the business and technical aspects of incorporating LLMs

What does reinforcement machine learning involve?

Learning from a feedback loop to make better decisions

What is highlighted as a valuable skill for students aspiring to delve deeper into AI applications and innovations?

Crafting effective prompts for LLMs

What is the main purpose of backpropagation in deep learning?

To update the model’s weights by calculating gradients

Delve deeper into the technical realms of AI and machine learning in the 'Technology behind AI or Machine Learning under the Hood' module. This session is designed to demystify the process of building machine learning algorithms and to explain the different machine learning styles.

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