GLiSE: Grey Literature Search Engine

Interactive Streamlit app for exploring text embeddings — upload text, generate vectors with Sentence Transformers, reduce dimensions with UMAP/t-SNE, cluster with KMeans, and visualize semantic relationships in 2D.

word embeddings. Created Date: 12 Feb 2019

app that uses Ollama embedding model and llm model to to optimize the response of the gpt via using outside sources

Word embedding via tensor decomposition.

GPT2 From Scratch using PyTorch. Inspired by Andrej Karpathy's implementation of microGPT

resume ranker using azure openai embedding model and using azure openai llm to analze it