AI Frontiers
Exploring the latest developments in artificial intelligence, machine learning, and their real-world applications
10 EPISODES
Introduction to Artificial Intelligence (Short Intro)
Introduction to AI: what it is, why it matters, and its transformative potential
History and Evolution of AI
Trace the origins of AI, from symbolic AI to machine learning and neural networks
Machine Learning: The Foundation of Modern AI
Define machine learning and its core idea of learning from data rather than explicit programming
Neural Networks: The Basics
Explain how neural networks mimic the human brain using nodes, weights, and layers
Deep Learning and Advanced Architectures
Explore the leap from simple neural networks to deep learning
Transformer Architecture
Dive into the mechanics of transformers: self-attention, positional encoding, and sequence processing
Large Language Models (LLMs)
Define LLMs and explain their role in natural language processing
Pretraining, Fine-Tuning, and Optimization
Pretraining: How LLMs are trained on diverse datasets to learn language patterns
Limitations and Bias in AI Systems
Examine ethical and technical limitations, such as bias in training data and potential misuse
Applications and Future of AI
Real-world applications in chatbots, healthcare, creative industries, and more