TechGita
V

AI & ML

Artificial Intelligence

Teaching machines to learn, see, and speak

39 verses·All Chapters →
V.1

The Perceptron

V.2

Neural Networks

V.3

Backpropagation

V.4

Gradient Descent

V.5

Convolutional Neural Networks

V.6

Recurrent Neural Networks

V.7

The LSTM

V.8

The Transformer

V.9

Attention Mechanism

V.10

Self-Attention

V.11

BERT

V.12

GPT

V.13

Tokenisation

V.14

Embeddings

V.15

Transfer Learning

V.16

Fine-Tuning

V.17

Reinforcement Learning

V.18

The Reward Function

V.19

Policy Gradient Methods

V.20

Q-Learning

V.21

AlphaGo

V.22

Image Classification

V.23

Object Detection

V.24

Semantic Segmentation

V.25

Generative Adversarial Networks

V.26

Diffusion Models

V.27

Variational Autoencoders

V.28

Multimodal AI

V.29

AI Agents

V.30

Retrieval-Augmented Generation

V.31

Chain-of-Thought Reasoning

V.32

Prompt Engineering

V.33

AI Alignment

V.34

Hallucination

V.35

Scaling Laws

V.36

Emergent Abilities

V.37

Mixture of Experts

V.38

Federated Learning

V.39

AI Hardware Accelerators