MTEB: Massive Text Embedding Benchmark
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Updated
May 24, 2024 - Python
MTEB: Massive Text Embedding Benchmark
Backend for the AI-copilot
The project's goal is to help job seekers understand the basic qualifications for specific jobs and evaluate the suitability of their skills for those positions. Additionally, the program aims to assist recruiters in enhancing their resume selection processes by analyzing and understanding job advertisements ....
An implementation of the TaxRetrievalBenchmark task for the 🤗 Massive Text Embedding Benchmark (MTEB) framework.
NLP Sentiment Classification Project
Efficient Retrieval Augmentation and Generation Framework
Embedding Representation for Indonesian Sentences!
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.
Experimenting using low level python c ABI with project panama and spring boot
Convert MUSE from TensorFlow to PyTorch and ONNX
Semantic search over every Emergent Ventures winner.
Search Git commits in natural language
PL-MTEB: Polish Massive Text Embedding Benchmark
Разработка сервиса для поиска похожих вопросов на медицинских форумах. (ML, MLE)
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
NLP use cases using popular solutions: Frequency Embeddings, Word embedding (word2vec, doc2vec, Glove), RNN,LSTM, Transformers-BERT, Sentence_Transformers etc. PyTorch
Efficient calculation of similarity between text embeddings using vector database
AI song recommendations based on the feel of a song
Data Science and Machine Learning projects
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