செய்யறிவின் வரலாறும் அடிப்படைகளும்
Session 1 · 35 slides
AI History & Fundamentals — covers the origins of Artificial Intelligence from Alan Turing's work to today's ChatGPT. Topics include rule-based AI, the AI winters, the deep learning revolution, and current large language models.
அறிவின் அடுக்குகள் / Layers of Intelligence
Session 2 · 28 slides · Available in தமிழ் & English
AI, Machine Learning, Deep Learning & Generative AI — covers how these four layers nest inside each other, from narrow vs general AI to GANs, Transformers, and the miracle of scale behind today's LLMs.
ஆழக் கற்றல் / Deep Learning
Session 3 · Available in தமிழ் & English · Interactive Code Examples
Deep Learning — covers hierarchical learning, the Perceptron model, CNN & RNN architectures, the three pillars of the deep learning revolution (Big Data, GPUs, Algorithms), Vanishing Gradient, GANs, Transformers, LLMs, and emergent abilities.
Hands-on Notebook 1
Interactive Google Colab notebook — Part 1 of the practical exercises for the Explore ML mini-course.
Open ColabHands-on Notebook 2
Interactive Google Colab notebook — Part 2 of the practical exercises for the Explore ML mini-course.
Open ColabHands-on Notebook 3
Interactive Google Colab Notebook — Part 3: Teaching AI to do math. Explore a 'Hello World' neural network that learns basic addition by example.
Open Colabமொழியும் இயந்திரங்களும் / Language & Machines
Session 4 · Interactive Code Examples · Available in தமிழ் & English
Natural Language Processing (NLP) — covers how machines understand human language, from tokenization and sentiment analysis to transformers and attention mechanisms. Features live Python code execution for hands-on learning of NLP concepts.
எம்பெடிங்ஸ் & மொழி மாதிரிகள் / Embeddings & Language Models
Session 5 · Interactive Code Examples · Available in தமிழ் & English
Word Embeddings, Language Models & Neural Networks — covers Word2Vec, Cosine Similarity, and Contextual Embeddings (BERT). Features live Python code execution.
Interactive NLP Exercises
Hands-on Google Colab notebook covering Tokenization, Embeddings, Word2Vec, Sentiment Analysis and more practical NLP exercises.
Open Colabநினைவாற்றல்: RNN vs LSTM / Memory in Machines: RNN vs LSTM
Session 6 · Available in தமிழ் & English · Interactive Demonstrations
Memory in Machines: RNN vs LSTM — covers N-Gram Models and their limitations, Recurrent Neural Networks (RNN), the Vanishing Gradient problem, Long Short-Term Memory (LSTM) architecture with gates (Forget, Input, Output), Sequence-to-Sequence models, and Character-level Translation demonstrations.
மாற்றம்: LSTM-லிருந்து Transformer-க்கு / The Evolution: LSTM to Transformer
Session 7 · Available in தமிழ் & English · Interactive Demonstrations
The Great Shift from LSTMs to Transformers — covers LSTM limitations (Information Bottleneck & Sequential Training), the Amnesia Test, Self-Attention mechanism, Parallel Processing advantages, Attention Matrix visualization, and the revolutionary impact of the Transformer architecture on modern AI.
RAG & Knowledge Cutoff / RAG & அறிவு எல்லை
Session 8 · Available in தமிழ் & English · Real-World Applications
Solving AI's Amnesia with RAG — covers Knowledge Cutoff limitations, the danger of AI Hallucination, Retrieval-Augmented Generation (RAG) architecture, Vector Search mechanics, and a practical case study using "Valluvar Vazhkai" to deliver authentic Thirukkural wisdom through modern AI technology.