https://www.pinecone.io/learn/dense-vector-embeddings-nlp/ Dense Vectors: Capturing Meaning with CodeJames BriggsData Scientist “But since the days of word2vec, developments in representing language have advanced at ludicrous speeds. This article will explore why we
What I Read: Deep Learning Recommendation Models
https://www.kdnuggets.com/2021/04/deep-learning-recommendation-models-dlrm-deep-dive.html Deep Learning Recommendation Models (DLRM): A Deep DiveBy Nishant Kumar, Data Science Professional. “This deep dive article presents the architecture and deployment issues experienced with the deep learning recommendation
What I Read: HuggingFace Transformers
https://medium.com/georgian-impact-blog/how-to-incorporate-tabular-data-with-huggingface-transformers-b70ac45fcfb4 How to Incorporate Tabular Data with HuggingFace TransformersGeorgianOct 23 “At Georgian, we find ourselves working with supporting tabular feature information as well as unstructured text data. We found that
What I Read: Transformer Architecture
https://blog.exxactcorp.com/a-deep-dive-into-the-transformer-architecture-the-development-of-transformer-models/ Deep LearningA Deep Dive Into the Transformer Architecture – The Development of Transformer ModelsMarketing, July 14, 2020 0 11 min readTransformers for Natural Language Processing “There’s no better time