Masterclass: Understanding Large Language Models (LLMs) & Hands-on with Playground Duration: 2 Hours Part of: AI Residency Program https://academy.decodingdatascience.com/airesidencyfasttrack Overview Large Language Models (LLMs) have transformed the AI landscape, enabling businesses and developers to build powerful applications with natural language understanding. This masterclass provides a comprehensive introduction to LLMs, their underlying architecture, training methodologies, and real-world applications. Additionally, participants will gain hands-on experience using AI playgrounds to experiment with different models and fine-tune responses. Learning Objectives By the end of this session, participants will: ✅ Understand the fundamentals of LLMs, their architecture, and training process ✅ Explore key concepts such as transformers, tokenization, attention mechanisms, and embeddings ✅ Learn how LLMs are applied in various domains (chatbots, content generation, coding assistants, etc.) ✅ Gain hands-on experience with AI Playground tools to test and fine-tune models ✅ Understand prompt engineering techniques to optimize model responses Session Breakdown 📌 Part 1: Introduction to Large Language Models (LLMs) (45 mins) What are LLMs? Evolution and key milestones Transformer architecture: How it enables language understanding Training process: Pretraining vs. fine-tuning vs. instruction-tuning Use cases of LLMs across industries 📌 Part 2: Hands-on with AI Playground (45 mins) Exploring different AI model playgrounds (e.g., OpenAI, Hugging Face, or Bedrock) Interacting with pre-trained models: Testing text completion, chat, and summarization Experimenting with temperature, token limits, and system prompts Best practices for using AI playgrounds effectively Who Should Attend? AI enthusiasts, data scientists, and developers looking to understand and leverage LLMs Business professionals and startup founders interested in AI-driven solutions AI residency participants keen to explore practical applications of generative AI This session is interactive, featuring live demonstrations and hands-on exercises to help participants gain confidence in using LLMs effectively.