Little AI Lessons

Topics Covered

Artificial Intelligence (AI), Machine Learning, Data Ethics, Neural Networks, Deep Learning, Generative Artificial Intelligence (GAI), Artificial General Intelligence (AGI), Bias in AI, Explainable AI (XAI), Computer Vision, Speech Recognition, Natural Language Processing (NLP), Supervised Learning, Unsupervised Learning, Data Privacy, Reinforcement Learning, Multi-Agent Systems, Reinforcement Learning from Human Feedback (RLHF), Fairness, Reward Model, Reward Gaming, Regularisation Techniques, Data Augmentation, Feature Engineering, Anomaly Detection, Clustering, Dimensionality Reduction, Accountability, Artificial Neuron, Activation Functions, Loss Functions, Optimisation Algorithms, Parameters, Hyperparameters, AutoML, Model Architectures, Dimensions in Neural Networks, Model Evaluation Metrics, Cross-Validation Techniques, Outer Alignment, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Graph Neural Networks, Inner Alignment, Transformer Architecture, Attention Mechanisms, Sequence-to-Sequence Models, Tokens in NLP, Embeddings, Large Language Model (LLM), Generative Pre-training Transformer (GPT), Ethical AI Design, Swarm Intelligence, Few-Shot Prompt, One-Shot Prompt, Zero-Shot Prompt, Scaling Laws, Scalability, GPUs, TPUs, Other Accelerators, AI Governance, Hardware Optimisation Techniques, Cloud Computing and AI, Edge Computing in AI, Federated Learning, AI Safety, Batch Learning, Mini-Batch Learning, Online Learning, Transfer Learning, Meta-Learning, Ensemble Methods, Human-In-The-Loop (HITL) AI, Safeguards, Diffusion Model, Emergence, Synthetic Data Generation, Bayesian Networks, Chain of Thought, Tree of Thought, Chaining, Steerability, Moderation Tools, Red Teaming, Regulatory Frameworks, Disclosure Mechanism, Finetuning, Prompt Engineering, Real-World Deployment, Reflection, Social Impact of AI, Economic Impact of AI, Conversational Agents, Open-Source Software, Interdisciplinary AI, AI Policy, Human-AI Collaboration, AI for Social Good.

Key Features

• 100 daily AI lessons
• 5 difficulty levels per lesson (beginner to expert)
• Interactive engagement with LinkedIn audience

Challenges and Solutions

Consistently producing high-quality, informative content daily while catering to different expertise levels. Simplifying complex AI concepts without losing depth or accuracy. Maintaining engagement and relevance across 100 consecutive days.

Future Improvements

Compile the lessons into an e-book or interactive online course. Create video content to complement the written lessons.