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Latest from the Blog

On the Generalizability and Predictability of Recommender Systems

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: https://www.youtube.com/watch?v=NkNdxF5chZY The concept of meta-learning is both simple and powerful: information about the past performance of machine learning models on various datasets, can help predict the future performance of these algorithms on new datasets. This…

Abacus.AI at NeurIPS 2022

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 more information!We give brief descriptions of both NeurIPS 2022 papers below. On the…

Beginners Guide To Transformer Models

In our previous post, we presented an introduction to Seq2Seq models – models that take a sequence as an input and produce a sequence for their output. Back in 2014, they revolutionized the field of Natural Language Processing (NLP), especially in translation applications. However, Machine Learning is a quickly developing discipline, and it wasn’t too…

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