Pro/Anti-vaxxers in Brazil: a temporal analysis of COVID vaccination stance in Twitter
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Updated
Apr 11, 2022 - HTML
Pro/Anti-vaxxers in Brazil: a temporal analysis of COVID vaccination stance in Twitter
example app for classification tasks
BERT-based Topic Modeling on New York Times Headlines (160k rows)
This project focuses the implementation on the Healthcare based chat-bot that answers the customer's queries as a therapist that is trained on the interaction between the patient and the therapist responses with the counsel chat dataset.
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.
This is a RAG implementation using Open Source stack. BioMistral 7B has been used to build this app along with PubMedBert as an embedding model, Qdrant as a self hosted Vector DB, and Langchain & Llama CPP as an orchestration frameworks.
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