Core AI Algorithms, Generative Models, NLP, and Computer Vision
Q-Learning Algorithm
This algorithm uses a value-based approach for discrete state-action spaces. The update rule follows Bellman equation:
$$ Q(s,a) \leftarrow Q(s,a) + \alpha [r + \gamma \max_{a'} Q(s',a') - Q(s,a)] $$ Implementation example using OpenAI Gym:
import numpy as np
import gym
env = gym.make('CartPole-v1')
state_space = env.obse ...
Posted on Wed, 23 Sep 2026 16:20:38 +0000 by ryanbutler
BERT-based Emotion Recognition in Dialog Systems
Model Overview
BERT (Bidirectional Encoder Representations from Transformers) is a language model developed by Google that uses Transformer encoder architecture with bidirectional context processing. Unlike traditional recurrent networks, BERT processes input sequences in both directions simultaneously, enabling comprehensive contextual underst ...
Posted on Thu, 03 Sep 2026 16:11:08 +0000 by mattheww
Understanding ALBEF: Vision-Language Representation Learning with Momentum Distillation
Environment Setup
For this implementation, I'm using a small custom test dataset (under 10MB total) with associated JSON files. The dataset creation process, environment configuration, and troubleshooting common errors are detailed in a separate guide.
This implementation focuses on testing and code exploration rather than full training.
python ...
Posted on Sat, 11 Jul 2026 17:02:30 +0000 by horsefaceba