Chatbot

Q/A Generator Using LMMs

Introduction Navigating extensive company documents to find specific information can be a cumbersome task. In this innovative project, we leveraged various Language Model Models (LMMs), including OpenAI models, Hugging Face models, and LLama 2, to create a Question and Answer (Q/A) generator for company PDF documents. This AI-driven solution offers a streamlined way to extract […]

Q/A Generator Using LMMs Read More »

ai summarizer

AI Summarizer using LLama 2 LLM

Introduction In today’s data-driven world, the need to distill long and complex documents into concise and meaningful summaries is greater than ever. This project utilizes the state-of-the-art LLama 2 Language Model (LLM) to automate the summarization process, helping businesses and organizations condense vast amounts of textual information into actionable insights. Challenges Handling Long Documents: Most

AI Summarizer using LLama 2 LLM Read More »

pdf-chatbot

Private LLama 2 with LangChain

Introduction The modern customer support environment is fraught with repetitive questions and often labor-intensive processes. The LLama 2 + LangChain PDF Chat project presents an innovative solution that leverages the power of advanced natural language processing (NLP) and machine learning. It’s a system designed to extract information from PDF documents and offer instant answers through

Private LLama 2 with LangChain Read More »

chatgenius-image

ChatGenius using LLama 2

Introduction In an era where AI is making significant strides in various domains, the challenge of creating human-like conversations within the context of AI-driven chatbots has remained a complex problem. ChatGenius aims to bridge this gap by introducing the ‘LLaMa 2 13b chat’ model, a conversational agent that redefines user engagement. This case study explores

ChatGenius using LLama 2 Read More »

Scroll to Top