Hyper parameters - EXPLAINED!

How much training data does a neural network need?

NLP with Neural Networks | ngram to LLMs

Transfer Learning - EXPLAINED!

Embeddings - EXPLAINED!

Batch Normalization in neural networks - EXPLAINED!

Loss functions in Neural Networks - EXPLAINED!

Optimizers in Neural Networks - EXPLAINED!

Activation functions in neural networks

Backpropagation in Neural Networks - EXPLAINED!

Building your first Neural Network

Reinforcement Learning through Human Feedback - EXPLAINED! | RLHF

Proximal Policy Optimization | ChatGPT uses this

Deep Q-Networks Explained!

Monte Carlo in Reinforcement Learning

Reinforcement Learning: on-policy vs off-policy algorithms

Q-learning - Explained!

Foundation of Q-learning | Temporal Difference Learning explained!

Bellman Equation - Explained!

How to solve problems with Reinforcement Learning | Markov Decision Process

Multi Armed Bandits - Reinforcement Learning Explained!

Elements of Reinforcement Learning

ChatGPT: Zero to Hero

[ 100k Special ] Transformers: Zero to Hero

20 papers to master Language modeling?

Llama - EXPLAINED!

How AI (like ChatGPT) understands word sequences.

Convolution in NLP

Word2Vec, GloVe, FastText- EXPLAINED!

Word Embeddings - EXPLAINED!