KL Divergence Courses and Certifications

Robust Pre-Training by Adversarial Contrastive Learning - CAP6412 Spring 2021

Explore robust pre-training techniques using adversarial contrastive learning, focusing on unsupervised and semi-supervised methods for improved model resilience and accuracy.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Serrano.Academy

What Is Quantum Machine Learning?

Friendly introduction to quantum computing and machine learning, covering qubits, quantum gates, entanglement, and their applications in generative modeling and optimization.

• YouTube
• 52 minutes
• On-Demand
• Free Video

HuggingFace

Reinforcement Learning from Human Feedback - From Zero to ChatGPT

Explore Reinforcement Learning from Human Feedback, its role in ChatGPT, and key concepts in NLP and RL. Gain insights into RLHF's technical aspects and open research areas.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Graham Neubig

CMU Neural Nets for NLP - Models with Latent Random Variables

Explore neural network models with latent random variables for NLP, covering VAEs, generative models, and techniques for discrete latent variables and controllable text generation.

• YouTube
• 1 hour
• On-Demand
• Free Video

Paul Hand

Variational Autoencoders

Explore generative models, autoencoders, and variational techniques in deep learning. Learn about architecture, optimization, and practical applications of variational autoencoders.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Ryan O'Donnell

Quantum "Supremacy" - Lecture 25 of Quantum Computation at CMU

Explore quantum supremacy, its challenges, and implications in computational theory. Delve into error correction, threshold theorems, and the potential of quantum systems.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Chemometrics & Machine Learning in Copenhagen

Generalized Tensor Decomposition - Utility for Data Analysis

Explore tensor decomposition methods beyond sum of squares error, including KL divergence and logistic odds, for improved data analysis in various fields like criminology and neuroscience.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Serrano.Academy

Direct Preference Optimization - Fine-Tuning LLMs Without Reinforcement Learning

Explore Direct Preference Optimization (DPO), an efficient method for training Large Language Models without reinforcement learning. Learn about the Bradley-Terry model, KL divergence, and loss function.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Google TechTalks

Private Convex Optimization via Exponential Mechanism - Differential Privacy for Machine Learning

Explore private convex optimization using the Exponential Mechanism, covering differential privacy, noisy SGD, and algorithms for DP-ERM and DP-SCO.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Trelis Research

Distillation of Transformer Models - Tutorial and Code Walk-through

Aprenda técnicas avançadas de destilação de modelos de IA, incluindo poda de camadas e largura, pré-treinamento vs. destilação, e ajuste fino de instruções. Explore exemplos práticos e dicas para otimizar o desempenho.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

NPTEL;  IISc Bangalore

Information Theory

Explore the mathematical foundations of information theory, covering entropy, data compression, channel coding, and applications in communication, statistics, and computer science.

• Swayam
• 12 weeks
• Finished
• Free Online Course