multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

Transportation Mode Detection with Unconstrained Smartphones Sensors

Fast Memorization of Prompt Improves Context Awareness of Large Language Models (Findings of EMNLP 2024)

Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation

Given a text, wrap it into phrases and send them to Yandex's search engine. If it yields a "did you mean:", substitute the original phrase for the suggestion. The software was originally developed for correcting OCR output.

Code for our ICIP 2019 paper "Context-Aware Automatic Occlusion Removal"

ContextKeeper: RAG-powered development context awareness system by LostMindAI

PDF Chatbot is an AI-driven application that lets users chat with their PDF documents. It extracts text from uploaded PDFs and uses a powerful language model to answer user queries in a context-aware manner. The chatbot is built with Python, Gradio for the web interface, PyPDF2 for PDF parsing, and Hugging Face Transformers + LangChain for natural

A human-like AI chatbot that simulates natural conversation with features like Personality Builder, Editor, and Tweaker for customization, temporary chat history for context, typing delays, and an experimental Double Texting feature for follow-up messages.

RAG with Context Awareness Gate

Code Trajectory MCP Keep your coding momentum across AI sessions.

Todob leverages Chroma DB Rag for context-awareness, combines it with in-context Rag and LLMs for function calling.

General Question and Answer Chatbot using langChain

A robot that observes the world through a window, using dynamic context-aware prompting and multi-model LLM architecture to generate varied, contextually rich diary entries. Explores AI memory, narrative continuity, and world knowledge integration.