AI to generate new ideas or ProductHunt listings
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Updated
Jun 26, 2023 - Jupyter Notebook
AI to generate new ideas or ProductHunt listings
A simple harness for interacting with OpenAI LLMs and Neo4j via LangChain
Part of our final year project work involving complex NLP tasks along with experimentation on various datasets and different LLMs
Non-safety and inductive Prompt data
RAG-based Streamlit app that uses Langchain, OpenAI Embeddings, GPT, and Pinecone Vector Database to answer questions about a user-provided document
A Pre-trained Language Model for Semantic Similarity Measurement of Persian Informal Short Texts
🔎📚 This document processing system is designed to efficiently analyze user documents and provide accurate responses to user queries related to the content. Powered by advanced algorithms, it offers a seamless experience for users seeking insights or information within their documents.
A platform to test multiple LLM models inside a RAG workflow to choose the best model for embedding and retrieval and the best prompt according to the use case
ML Model Visualization
lexninetz is an experimental project that employs knowledge graphs and agent-based reflection for natural language translation using multi-lingual language models.
Onefile can both serialize and deserialize code, enabling the conversion of project files into a single text file and vice versa for seamless integration with LLM queries.
Vital Image Analytics is an AI-powered application designed to assist healthcare professionals in analyzing medical images for diagnostic purposes.
This project contains the notebooks of the Deep Learning AI course "Langchain: Chat with your Data" running an a docker image with all dependencies.
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