Large Language Models (LLMs) Explained: From BERT to GPT | A Complete 2025 Guide - Week 4 - MIS 769

Description:
🔍 Dive into the fascinating world of Large Language Models in this comprehensive guide! In this 1-hour tutorial, we break down everything from basic concepts to advanced applications of LLMs.
📚 What you'll learn:
The evolution of AI and LLMs from 2012 to 2024
Key differences between AI, ML, Deep Learning, and Generative AI
Understanding BERT, GPT, and other transformer architectures
How tokenization, embeddings, and neural networks work
Practical comparison of Open Source vs Closed Source LLMs
Real-world applications and use cases
Important risks and ethical considerations
🔧 Perfect for:
Students interested in AI/ML
Business professionals wanting to understand LLM capabilities
Developers starting with language models
Anyone curious about modern AI technology
⚡️ Based on the latest developments in AI, including insights about Claude, GPT-4, and emerging open-source alternatives.
💡 Special focus on practical applications and responsible AI usage, with real examples from healthcare, business, and technology sectors.
#AI #MachineLearning #LLM #ArtificialIntelligence #TechEducation #GPT #BERT #DeepLearning
🎓 Part of the MIS 769 - Big Data Analytics for Business curriculum at UNLV