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U 4 – IP (125 points)
Due: Sun, May 26 |Printer Friendly Version
Description
Assignment Details:
This assignment has two parts.
Part 1:
One large opportunity space within Big Data includes using textual information for Natural Language Processing. Large Language Models have emerged as a leading solution to mine unstructured text and provide Q&A-like capabilities, based on the trained corpus. After reading the following article: BloombergGPT: A Large Language Model for Finance, create a 8-10 page presentation describing the benefits of such a model, emphasizing the source data that was used to train this model. In this discussion, propose a new domain specific model and what data sources would be needed to construct.
Part 2:
In addition to submitting the assignment to this Individual Project, please also post your assignment in the Discussion Board for Unit 5.
Please submit your assignment.
For assistance with your assignment, please use your textbook, all course resources, and any external research and resources you have gathered.
Individual Project Rubric
The Individual Project (IP) Grading Rubric is a scoring tool that represents the performance expectations for the IP. This Individual Project Grading Rubric is divided into components that provide a clear description of what should be included within each component of the IP. It’s the roadmap that can help you in the development of your IP.
Expectation Points Possible Points Earned Comments
Assignment-Specific: The plan includes a description of the benefits of the large language model.
35
Assignment-Specific: The plan emphasizes how the source data was used to train in this model.
35
Assignment-Specific: Proposes a new domain specific model, including the data sources needed.
35
Assignment-Specific: The submission demonstrates the utilization of the course readings and other scholarly or professional materials to complete the assignment.
10
Professional Language: The assignment contains accurate grammar, spelling, and punctuation with few or no errors. (APA formatting or the style specified in the assignment is required.)
10
Total Points
125
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