Explore >> Select a destination

You are here

 www.marekrei.com
68 Summaries of Machine Learning and NLP Research - Marek Rei
| | haifengl.wordpress.com
LLM | Haifeng's Random Walk
2.0 parsecs away

Travel
| | Generative artificial intelligence (GenAI), especially ChatGPT, captures everyone's attention. The transformerbased large language models (LLMs), trained on a vast quantity of unlabeled data at scale, demonstrate the ability to generalize to many different tasks. To understand why LLMs are so powerful, we will deep dive into how they work in this post. LLM Evolutionary Tree...
| | codeincomplete.com
AI, ML, and Large Language Models | Jake Gordon
2.4 parsecs away

Travel
| | Personal Website for Jake Gordon
| | blog.ml.cmu.edu
Carnegie Mellon University at NeurIPS 2024 - Machine Learning Blog | ML@CMU | Carnegie Mellon University
2.5 parsecs away

Travel
| | The latest news and publications regarding machine learning, artificial intelligence or related, brought to you by the Machine Learning Blog, a spinoff of the Machine Learning Department at Carnegie Mellon University.
| | vxlabs.com
Variational Autoencoder in PyTorch, commented and annotated. - vxlabs
56.6 parsecs away

Travel
| I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time.