How Semantic Search is Transforming the Way We Find Information
Author(s): Shivam Dattatray Shinde Originally published on Towards AI. Agenda How information retrieval used to work in the past Introduction of sematic search to the retrieval systems Dense Retrieval Reranking RAGs Conclusion How information retrieval used to work in the past Before …
Classifying the Unstructured: A Guide to Text Classification with Representation and Generative Models
Author(s): Shivam Dattatray Shinde Originally published on Towards AI. This article will delve into the various methodologies to perform text classification using transformer-based models, explaining their principles, applications. Weβll explore both representation-focused and generative approaches, leveraging the flexibility and power of transformer …
From Words to Vectors: Exploring Text Embeddings
Author(s): Shivam Dattatray Shinde Originally published on Towards AI. This article will guide you through the various techniques for transforming text into formats that machines can understand. Weβll cover everything from basic encoding methods to more complex approaches like embeddings. Photo by …
Beyond Labels: The Magic of Autoencoders in Unsupervised Learning
Author(s): Shivam Dattatray Shinde Originally published on Towards AI. In a world where labeled data is often scarce, autoencoders provide a powerful solution for extracting insights from unstructured data without the need for manual supervision. Photo by Victor Freitas on Unsplash Agenda …