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: 3
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