Learning Objectives:
- Understanding LLM Frameworks: Gain a foundational knowledge of Large Language Models (LLMs), their role in data analysis, and their applications in auditing.
- Identifying Unstructured Data: Recognize various types of unstructured data relevant to auditing.
- Applying LLMs in Auditing: Learn how to leverage LLMs for analyzing unstructured data and extracting insights.
- Developing Practical Skills: Create a personal roadmap for integrating LLM techniques into auditing processes.
- Ethics and Compliance: Understand ethical considerations and compliance issues related to the use of LLMs in auditing.
Introduction to LLMs Framework and Unstructured Data
- Audit analytics framework
- Key concepts and architecture of LLM
- Different frameworks for LLMs
- Overview of unstructured data
Practical Applications of LLMs in Auditing
- Use of RegEx
- Real-world examples of LLM applications in auditing
- Overview of popular LLMs and tools
Developing a Personal Roadmap
- Competency assessment
- Learning solutions
- Ethical implications of using AI in auditing
Closing
- Key takeaways
- Q&A
Who Should attend
This seminar is ideal for all auditots who want to understand how LLMs can streamline their auditing processes.
Number of CPE units: 7
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