AI and ChatGPT
A Comprehensive Introduction
Description
Artificial intelligence (AI) has recently emerged to be a technology revolution that is able to provide benefits beyond traditional rules-based approaches. AI is able to overcome the complexities and optimize the performance of telecommunications networks, computer graphics, media and language processing systems, data science, navigation and voice assistants, and numerous applications. Using 170 informative slides, this course will equip participants with the foundational knowledge on the key building blocks of naturally intelligent learning systems and generative AI, including large-scale language models used in the global phenomenon ChatGPT.
What You Will Learn
Overview of AI and machine learning, and their capabilities
Neural network architecture and implementation, including perceptron and adaline training, attractor networks with memory, and biological and competitive learning
Artificial generative intelligence (AGI) using supervised, reinforcement, unsupervised training
Speech, image, and video enhancements using AI and convolutional neural network
ChatGPT components, including tokenization, embedding, encoding, decoding, language and post processing
The instructor has worked at the Georgia Institute of Technology for many years and has been an active speaker for the IEEE and industry. He has trained hundreds of engineers from various companies around the globe. His current research interest is in optimizing media processing (language, speech, audio, video) and wireless systems using AI. He is a senior member of the IEEE.
What You Will Learn!
- Origins of AI, System Types, and Machine Learning
- Fundamentals of Neural Networks
- Artificial Generative Intelligence using Supervised, Reinforcement, Unsupervised Training
- Speech, Image, and Video Enhancements using AI and Convolutional Neural Network
- ChatGPT Tokenization, Embedding, Encoding, Decoding, Language and Post Processing
Who Should Attend!
- Anyone curious about AI and ChatGPT