Search using Attention based Sentence Transformers
-
Updated
Jun 4, 2022 - HTML
Search using Attention based Sentence Transformers
Retrieve text embeddings, but cache them locally if we have already computed them.
Homework 3 for the machine learning class at Tsinghua University (fall term 23/24)
MedCPT generates embeddings of biomedical texts that can be used for semantic search (dense retrieval). MedCPT Article Encoder: compute the embeddings of articles (e.g., PubMed titles & abstracts). In this template, we will import the MedCPT Article Encoder on the Inferless Platform.
This project is a Q&A chatbot designed for the Global Academy of Technology (GAT), utilizing LLMs, Embeddings, RAG techniques and Prompt Engineering to provide accurate and context-aware responses to user queries about the college.
Predicts review helpfulness using the Amazon Book Reviews Dataset from 2003-2005, featuring NLP techniques and optimized memory usage.
Go module for fetching embeddings from embeddings providers
DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.
Natural Language Processing topics and projects.
end-to-end image search app
Graph Attention Networks for Entity Summarization is the model that applies deep learning on graphs and ensemble learning on entity summarization tasks.
Large language models offer new opportunities for processing and generating text. I used text embeddings, clustering, and the ChatGPT API to examine the reasons for startup failure.
Abuse detection in online conversations with text and graph embeddings
A simple and scalable open-source solution to text embeddings ☄️📄
A search application using Aurora Postgresql and pgvector for an online retail store product catalog
Evaluating state-of-the-art embedding models with domain-specific instructions to improve semantic representation and enhance explainability in semantic search.
Investigation of NLP techniques based on Stepik NLP course and my developments.
Mind-X is my intelligent alter ego that understands me the best. It assists with and resolves my bothersome tasks, growing in real-time as a next-generation PersonAI system.
Add a description, image, and links to the text-embeddings topic page so that developers can more easily learn about it.
To associate your repository with the text-embeddings topic, visit your repo's landing page and select "manage topics."