Discover how Generative AI is transforming classification tasks in our webinar, “Classification Tasks with Generative AI.” Get an overview of how GenAI performs classification tasks like sentiment analysis, spam detection, and content categorization using smart prompting and contextual guidance. Whether you're just starting out or looking to deepen your expertise, this session will show you how to apply GenAI for intelligent sorting, labeling, and interpretation across real-world use cases.

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Agenda for the session

  • Explore classification use cases with Generative AI
  • Smart prompting and context techniques for accurate classification
  • AI and Data Science program
  • Live "Q&A"

About Speakers

Mr. Tasleem Ahmad Muzaffar

Senior Data Scientist at CubeSmart

Tasleem Ahmad Muzaffar is a technical leader and data expert specializing in the practical application of Generative AI and NLP. With a focus on bridging the gap between AI research and scalable business solutions, he excels at building high-accuracy classification frameworks using Large Language Models (LLMs). A prominent voice in the data science community, Tasleem brings deep expertise in transforming complex data into actionable insights, making him an invaluable guide for mastering GenAI-driven classification workflows.

AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program

The AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program Program has a curriculum carefully crafted by MIT faculty to provide you with the skills and knowledge to apply AI and data science techniques to help you make AI-driven decisions.

This AI and data science program has been designed for the needs of professionals looking to grow their careers and enhance their AI and data science skills to solve complex business problems. In a relatively short period of time, the program aims to build your understanding of most industry-relevant technologies today such as machine learning, deep learning, network analytics, recommendation systems.

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