[REQ] Sam Woods - Bionic GPTs, AI Agents 2024

[mnb235]

"Hey everyone. I was wondering if anyone can upload this course to a free host like Mega or MediaFire."
https://fboom.me/file/a266d64af0a99
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Course Outline:
Introduction to Artificial Intelligence and Machine Learning
Overview of AI and its applications
Fundamentals of machine learning: supervised and unsupervised learning, neural networks, and deep learning
Introduction to Bionic GPTs and their role in AI

Bionic GPTs - Theory and Implementation
In-depth exploration of Bionic GPTs: architecture, components, and training methods
Hands-on training with Bionic GPTs using popular frameworks such as PyTorch and TensorFlow
Case studies: applications of Bionic GPTs in natural language processing, computer vision, and speech recognition

AI Agents - Design and Development
Introduction to AI agents: types, architectures, and characteristics
Designing and developing AI agents using popular frameworks such as OpenCV and Robot Operating System (ROS)
Case studies: applications of AI agents in robotics, autonomous vehicles, and game playing

Advanced Topics in AI
Deep learning techniques: convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks
Transfer learning and fine-tuning pre-trained models
Exploring emerging trends in AI: Explainable AI, Adversarial Attacks, and Fairness in AI

Practical Applications of AI Agents
Case studies: real-world applications of AI agents in industries such as healthcare, finance, and transportation
Hands-on exercises: designing and implementing AI agents for specific tasks
Challenges and limitations of AI agents in real-world scenarios

Future Directions in AI Research
Emerging trends in AI research: multimodal learning, transfer learning, and reinforcement learning
Exploring the potential applications of AI in areas such as space exploration, education, and social media
Future directions for AI research: ethics, bias, and explainability