Embedding projector demo

Introduction Notebook to Extreme Multi-Label Classification problem (XML)

Same fastText, but up to 2x faster training and inference.

Create a chatgpt chatbot for your website using LangChain, Supabase, Typescript, Openai, and Next.js. LangChain is a framework that makes it easier to build scalable AI/LLM apps.

chatbot using NLP and RNN

Local Embedding models benchmark tool & result

UIViewController containment made easy

🏠 GenAI Training Path para QA Engineers — caso de uso PropIA (plataforma inmobiliaria colombiana). Embeddings + ChromaDB, RAG conversacional, agentes ReAct, análisis de contratos con LLMs y evaluación con Precision@K, Recall, MRR y F1. Stack: TypeScript · Anthropic · LangChain.

GLiSE: Grey Literature Search Engine

Embed external programs within the program.

A Spring AI Exploring Project[Caicai].

word embeddings. Created Date: 12 Feb 2019

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.

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

Client-Side Browser-Based RAG.

End-to-end Generative AI & RAG implementations using LangChain 1.x, FAISS, OpenAI & Ollama — covering data ingestion, embeddings, vector stores, retrievers, and runnable-based pipelines.

Web Page Scraping + RAG System This project demonstrates how to build a Retrieval-Augmented Generation (RAG) pipeline by combining web page scraping with LLM-powered question answering.

Flask website to upload sharex images and display them in discord with an embed