LSUS MBA 703 FINAL STUDY GUIDE 2026
COMPLETE QUESTIONS AND ANSWERS.
OCR (Optical Character Recognition). Answer: Software that can
scan images and identify text within them.
Self-Supervised Learning. Answer: Sometimes called unsupervised
learning, where systems build pattern-recognizing algorithms using data
that has not been pre-classified.
Seed Round. Answer: The initial round of capital provided to a
startup, often by angel investors or venture firms focused on early stage
investments. If the firm is successful, the seed round is usually followed,
when particular milestones are achieved, by subsequent and larger
rounds of investment, typically labeled alphabetically (e.g., series A,
series B, etc.).
Change Management. Answer: Refers to techniques to facilitate
organization change, including preparing individuals for change and
offering training and support during and after implementation. Change
management is especially important in IS use, as many information
systems implementations involve radical change to the way a firm
conducts business or the way individuals and teams operate within the
organization.
, Parameters. Answer: Values that are created by the foundation model
and that are used by LLMs to determine text elements, relationships
between these elements, and that are further refined during training. The
more parameters that are in a model, the more complex and
comprehensive the resulting LLM will be.
Machine Learning (ML). Answer: A type of artificial intelligence
that leverages massive amounts of data so that computers can improve
the accuracy of actions and predictions on their own without additional
programming.
Deep Learning. Answer: A type of machine learning that uses
multiple layers of interconnections among data to identify patterns and
improve predicted results. Deep learning most often uses a set of
techniques known as neural networks and is popularly applied in tasks
like speech recognition, image recognition, and computer vision.
Turing Test. Answer: A test of a computers to exhibit behavior so
that it is indistinguishable from a human
Reinforcement Leaarning from Human Feedback. Answer: A
machine learning training technique that uses a reward model and
human evaluators that will provide feedback to continually tune results.
COMPLETE QUESTIONS AND ANSWERS.
OCR (Optical Character Recognition). Answer: Software that can
scan images and identify text within them.
Self-Supervised Learning. Answer: Sometimes called unsupervised
learning, where systems build pattern-recognizing algorithms using data
that has not been pre-classified.
Seed Round. Answer: The initial round of capital provided to a
startup, often by angel investors or venture firms focused on early stage
investments. If the firm is successful, the seed round is usually followed,
when particular milestones are achieved, by subsequent and larger
rounds of investment, typically labeled alphabetically (e.g., series A,
series B, etc.).
Change Management. Answer: Refers to techniques to facilitate
organization change, including preparing individuals for change and
offering training and support during and after implementation. Change
management is especially important in IS use, as many information
systems implementations involve radical change to the way a firm
conducts business or the way individuals and teams operate within the
organization.
, Parameters. Answer: Values that are created by the foundation model
and that are used by LLMs to determine text elements, relationships
between these elements, and that are further refined during training. The
more parameters that are in a model, the more complex and
comprehensive the resulting LLM will be.
Machine Learning (ML). Answer: A type of artificial intelligence
that leverages massive amounts of data so that computers can improve
the accuracy of actions and predictions on their own without additional
programming.
Deep Learning. Answer: A type of machine learning that uses
multiple layers of interconnections among data to identify patterns and
improve predicted results. Deep learning most often uses a set of
techniques known as neural networks and is popularly applied in tasks
like speech recognition, image recognition, and computer vision.
Turing Test. Answer: A test of a computers to exhibit behavior so
that it is indistinguishable from a human
Reinforcement Leaarning from Human Feedback. Answer: A
machine learning training technique that uses a reward model and
human evaluators that will provide feedback to continually tune results.
