$Understanding LLM\u2019s$

Understanding LLM’s
About this Event

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.

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

Course Outline:

Introduction to Large Language Models
Key concepts - Attention mechanisms and Transformer architectures
Introduction to popular LLM libraries (e.g., Hugging Face's Transformers)
Setting up the development environment and installing necessary libraries
Working with Pre-trained Models
Loading and using pre-trained LLMs for various tasks (e.g., text generation, classification)
Fine-tuning pre-trained models on custom datasets for specific tasks
Hands-on exercises in text generation, sentiment analysis, and other NLP tasks
Exploration of real-world use cases and examples of LLM applications
Best practices for training, fine-tuning, and evaluating LLMs

Training material provided: Yes (Digital format)