LLMs and AI Agents: Transforming Unstructured Data

Overview

Join us for an enlightening session on how Large Language Models (LLMs), GPT models, and AI agents are reshaping the landscape of unstructured data. Discover the transformative power these technologies have in converting raw data into valuable insights.

Learn about Optical Character Recognition (OCR), Natural Language Processing (NLP), and cutting-edge agentic workflows that are driving the future of document intelligence.

Hosted on YouTube, this event is a must-attend for anyone interested in the fields of Artificial Intelligence and Computer Science. Gain a comprehensive understanding of how these advanced systems are utilized to optimize and innovate data processing, analysis, and interpretation.

Syllabus

• Introduction to LLMs and AI Agents
Overview of Large Language Models (LLMs)
The evolution and impact of AI agents
• Unstructured Data: Challenges and Opportunities
Understanding unstructured data
Potential applications and sectors
• Optical Character Recognition (OCR) Techniques
Basics of OCR technology
Tools and libraries for OCR
Integrating OCR in AI workflows
• Natural Language Processing (NLP) Fundamentals
Key NLP concepts and techniques
Text pre-processing and tokenization
Named entity recognition and sentiment analysis
• Large Language Models in Action
Overview of GPT models and capabilities
Fine-tuning and customizing LLMs
Case studies of LLMs processing unstructured data
• AI Agents and Agentic Workflows
Introduction to autonomous agents
Designing workflows with AI agents
Automation of decision-making processes
• Transforming Unstructured Data into Insights
Strategies for extracting actionable insights
Data visualization and reporting techniques
Case studies and industry applications
• Integration and Implementation
Integrating LLMs and AI agents in existing systems
Scalability and infrastructure considerations
• Ethical and Privacy Considerations
Data privacy in AI applications
Ethical implications of using AI agents
• Capstone Project
Developing a solution to transform unstructured data using LLMs and AI agents
Presentation and peer review of projects

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Subjects

Computer Science