AI to generate new ideas or ProductHunt listings

The Customer-Support-Question-Answering-Chatbot-using-LangChain repository is an open-source project leveraging LangChain for developing a chatbot that efficiently addresses customer queries. It utilizes natural language processing techniques to enhance customer support interactions, providing accurate and timely responses.

Run local LLMs in Ruby

Question Answering System on Private Documents using Langchain, OpenAI and Pinecone

Synergi is an open-source AI assistant for Dekstop aimed at enhancing users' productivity and well-being.

Converting ☝️ 🔀 👉 via the power of 🦜 🔗

It automatically checks your emails and drafts replies, storing them in the respective folder for your review

An android chatbot that integrates open ai API for GPT 3.5 .This chatbot also has exception handling handling for network errors as we tend to face lots of network problems in Africa

A ✨ shiny ✨ interface to fine-tune models with Axolotl on HuggingFace

Visualize LLM Evaluations for OpenAI Assistants

A simple harness for interacting with OpenAI LLMs and Neo4j via LangChain

Generate more imaginative LLM responses with randomized placeholders

Python code for LLMs surprisals and linear machine learning models

This web application uses generative AI models, together with the LinkedIn and SERP API to make tailored job suggestions

Part of our final year project work involving complex NLP tasks along with experimentation on various datasets and different LLMs

A laboratory dedicated to documenting and storing progress in the AI space. Similar to LV-223, the experimental moon in the Prometheus movie, this repository serves as a virtual laboratory for testing, fine-tuning language models (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

Generative Question Answering using Cohere API