Description:

Large Language Models (LLMs) have revolutionized natural language processing (NLP) by demonstrating remarkable capabilities in understanding, generating, and manipulating human language. This 3-hour training session provides an in-depth exploration of LLMs, focusing on their implementation using the Python programming language. Participants will delve into the underlying architecture of LLMs, learn how to work with pre-trained models, and gain hands-on experience in fine-tuning LLMs for specific NLP tasks. Through practical exercises and case studies, attendees will discover the diverse applications of LLMs in text generation, sentiment analysis, and beyond. By the end of the session, participants will be equipped with the knowledge and tools to harness the power of LLMs in their own projects and applications.

Duration:  Half day (3 Hrs)

Course Code: BDT343

Learning Objectives:

• Understand the principles behind Large Language Models
• Gain hands-on experience in working with LLM libraries in Python
• Learn techniques for fine-tuning and deploying pre-trained LLMs
• Explore applications of LLMs in text generation, sentiment analysis, and more