Aladdin Persson Courses

NeRFs- Neural Radiance Fields - Paper Explained

1 review

Explore neural radiance fields for 3D scene representation and view synthesis, covering network architecture, key concepts, learning process, and advanced techniques.

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

Graph Neural Networks- A Gentle Introduction

1 review

Gentle introduction to Graph Neural Networks, covering key concepts, properties, and variants. Learn about graph representation, information propagation, and common tasks in this emerging field of machine learning.

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

Experimenting with Alpaca & LLaMA

Explore Alpaca and LLaMA models in real-time, gaining hands-on experience with cutting-edge language AI technologies and their practical applications.

• YouTube
• 1 hour 39 minutes
• On-Demand
• Free Video

Everything You Need to Know About GPT-4

Comprehensive overview of GPT-4's capabilities, improvements, and potential applications, exploring its advancements in language understanding and generation compared to previous models.

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

What's LLaMA? ChatLLaMA? - And Some ChatGPT/InstructGPT

Explore LLaMA, ChatLLaMA, and other language models, understanding their capabilities, differences, and potential applications in AI and natural language processing.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

FrugalGPT: How to Not Get Broke Using GPT4

Learn cost-effective strategies for utilizing GPT-4, maximizing its potential while minimizing expenses. Discover tips and tricks to optimize your usage and get the most value from this powerful AI tool.

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

Google PALM2 - Is It Better Than GPT4?

Explore the capabilities of Google's PALM2 language model and compare its performance to GPT-4, examining key features and potential applications in AI technology.

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

Are LLMs the Future of Recommender Systems?

Explore the potential of Large Language Models in revolutionizing recommender systems, discussing their advantages, challenges, and future implications for personalized content delivery.

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

Matrix Factorization Techniques for Recommender Systems

Explore matrix factorization techniques for building effective recommender systems, covering key concepts and practical implementation strategies.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Paper Time - The Netflix Recommender System

Explore Netflix's innovative recommender system, its algorithms, and impact on user experience in this in-depth analysis of personalized content delivery.

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

Deep Neural Networks for YouTube Recommendations

Explore deep neural networks for YouTube recommendations, analyzing the architecture and techniques used to enhance user experience and content discovery on the platform.

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

Latent Dirichlet Allocation Tutorial

Explore Latent Dirichlet Allocation in Python: Learn to implement this powerful topic modeling technique for text analysis and document classification.

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

Finetuning Whisper with Huggingface and Pytorch Lightning

Explore fine-tuning Whisper using Hugging Face and PyTorch Lightning for advanced speech recognition. Learn techniques to enhance model performance and adapt it to specific use cases.

• YouTube
• 6 hours 19 minutes
• On-Demand
• Free Video

ESRGAN Paper Walkthrough

Detailed walkthrough of the ESRGAN paper, exploring enhanced super-resolution techniques using generative adversarial networks for improved image upscaling and restoration.

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

ESRGAN Implementation From Scratch

Learn to implement ESRGAN, an advanced image super-resolution technique, from scratch. Gain hands-on experience in deep learning and computer vision through step-by-step coding.

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