Organizations want to infuse LLMs into every part of their planning and decision making process. This translates to thousands, if not millions of API calls a day. While GPT-4 is great, it’s also prohibitively expensive, at scale.
Luckily, the open-source LLM…
In this blog post, we discuss Abacus.AI’s NeurIPS 2022 paper on recommender systems.Paper: https://arxiv.org/abs/2206.11886Code: https://github.com/naszilla/reczilla1 min video: https://www.youtube.com/watch?v=Eu8G3oNzcvU5 min video…
The Abacus.AI team has published two papers to appear at the Conference on Neural Information Processing Systems (NeurIPS) 2022. NeurIPS is a top machine learning conference held every December. Abacus.AI is also planning a social event during NeurIPS – stay tuned for…
In this post, we give an introduction to bias in machine learning, and we discuss our new research for debiasing pretrained neural networks (i.e., post-hoc debiasing). ArXiv paper: https://arxiv.org/abs/2006.08564 Source code…
Like many other Machine Learning concepts, meta-learning is an approach akin to what human beings are already used to doing. Meta-learning simply means “learning to learn.” Whenever we learn any new skill there is some prior experience we can relate to, which makes the…
The painting “Edmond de Belamy” is an AI-generated portrait that was sold at an auction for $432,500 in 2018. That’s a lot of money for an artificial painting, but how exactly was it created? Back in 2014, a research team at the University of Montreal published a paper…
Graph from COVID-19Projects
Over just a few months, the new coronavirus disease (COVID-19) has grown from several cases in Wuhan province to a global health threat. It all started in December 2019, after which the virus was first recognized by the World Health…
Deep Learning (DL) has had immense success over the past few years in areas such as computer vision and speech recognition. Recently, DL techniques have also been used to enhance the performance of Recommender Systems (RS). Most major websites and services are using RS…
In this post, we discuss the details behind our GAN demo at RealityEngines.AI.
Generative adversarial networks (GANs) are viewed by many as the most exciting deep learning development of the last decade, with many applications including data augmentation, image generation…