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Discussed about 4 use-cases or case studies. Discussed about the approaches and significance of these use-cases as these are different from others. There are several approaches available which can be done using LLM but here the approaches and it's significance could bring insightful approaches towards it's execution.
This repository collects the assignments implemented during my university course of Digital Signal and Image Detection, which aim to develop and improve computer vision knowledge.
Space Model framework that allows for maintaining generalizability, and enhances the performance on the downstream task by utilizing task-specific context attribution. It is an external LLM layer, that improves accuracy in classification task for multiple datasets, such as HateXplain, IMDB movies reviews and more.
A streamlined platform for efficient resume-job matching using advanced NLP techniques and a user-friendly web interface, built with Flask and MongoDB.