A course teaching how to code Large Language Models (LLMs) from scratch to deeply understand their inner workings and fundamentals.
Introduces CARTE, a foundation model for tabular data, explaining its architecture, pretraining on knowledge graphs, and results.
Exploring mixed-precision techniques to speed up large language model training and inference by up to 3x without losing accuracy.
A curated list of the top 10 open-source machine learning and AI projects released or updated in 2022, including PyTorch 2.0 and scikit-learn 1.2.
Author announces the launch of 'Ahead of AI', a monthly newsletter covering AI trends, educational content, and personal updates on machine learning projects.
A curated list and summary of recent research papers exploring deep learning methods specifically designed for tabular data.
Explores using DALL·E 2 AI to generate symbolic and spiritual art, with tips on prompts like 'religious art' for creative results.
Challenges the common practice of using powers of 2 for neural network batch sizes, examining the theory and practical benchmarks.
Learn how to deploy a deep learning research demo on the cloud using the Lightning framework, including GPU training and model sharing.
Learn to build a Super Resolution GAN demo using the Lightning framework in this first part of a deep learning tutorial series.
A hands-on review of PyTorch's new M1 GPU support, including installation steps and performance benchmarks for deep learning tasks.
Explains the difference between .update() and .forward() in TorchMetrics, a PyTorch library for tracking model performance during training.
Author announces a new machine learning book covering scikit-learn, deep learning with PyTorch, neural networks, and reinforcement learning.
A comprehensive collection of 90 machine learning lecture videos covering Python, scikit-learn, algorithms, and model evaluation techniques.
A comprehensive deep learning course covering fundamentals, neural networks, computer vision, and generative models using PyTorch.
A curated list of public dataset repositories for machine learning and deep learning projects, including computer vision and NLP datasets.
A review of the book 'Deep Learning with PyTorch', covering its structure, content, and suitability for students and beginners in deep learning.
An analysis of GPT-3's capabilities, potential for misuse in generating fake news and spam, and its exclusive licensing by Microsoft.
An introductory chapter on machine learning and deep learning, covering core concepts, categories, and the shift from traditional programming.
A review of 'Architects of Intelligence,' a book featuring interviews with 23 leading AI researchers and industry experts.
