llm-applications

There are 12 repositories under llm-applications topic.

  • ntt-dkiku/route-explainer

    The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)

    Language:Python12201

  • Pro-GenAI/Auto-Precise-Prompts

    Automated LLM-based Prompt Engineering for Structured Data Processing

    Language:Jupyter Notebook4000

  • boredom1234/CodeWhisperer

    A powerful CLI tool using vector embeddings and LLMs to help developers understand codebases through natural language. Ask questions in plain English, get context-aware responses, analyze GitHub repos, and generate documentation. Your AI coding companion for quick codebase exploration.

    Language:Python1

  • Md-Emon-Hasan/LangChain

    Powerful framework for building applications with Large Language Models (LLMs), enabling seamless integration with memory, agents, and external data sources.

    Language:Jupyter Notebook112

  • Md-Emon-Hasan/Retrieval-Augmented-Generation-RAG

    RAG enhances LLMs by retrieving relevant external knowledge before generating responses, improving accuracy and reducing hallucinations.

    Language:Jupyter Notebook112

  • realjules/ScholarLens

    ScholarLens analyzes research papers using RAG with AI models from OpenAI, Anthropic, and Google. It identifies research gaps, assesses novelty, extracts key concepts, visualizes citations, and enables natural language queries of academic content. Features include PDF processing, arXiv/Semantic Scholar integration, batch processing, and intelligent

    Language:Python12

  • hakeematyab/CareConnect

    CareConnect uses state-of-the-art large language models (LLMs) to provide rapid, reliable medical guidance. This project addresses increasing wait times and health misinformation, offering timely assistance and supporting informed decision-making to alleviate the burden on the healthcare system.

    Language:Jupyter Notebook0100

  • RuvenGuna94/Experimenting-With-AI-Agents

    An interactive Jupyter Notebook demonstrating AI agent collaboration using CrewAI. This project explores how multiple AI agents can research, generate content, and automate workflows through task orchestration.

    Language:Jupyter Notebook0100
  • aiDrivenEfficiency

    thomaslaner/aiDrivenEfficiency

    Master’s Thesis at TU Vienna, assessing state-of-the-art LLMs for automating BPO tasks. Features a custom Action Research-Based Compliance Testing (ARCT) framework, exploring LLM capabilities, context impact, and limitations in optimizing complex workflows.

    0100

  • codebytemirza/LLMgrep

    LLMGrep combines the precision of Semgrep's static analysis with the power of Large Language Models to deliver comprehensive security scanning, interactive vulnerability discussions, and intelligent rule generation capabilities.

    Language:Python

  • SayamAlt/AI-Powered-Interview-Preparation-Guide-using-Langchain

    Successfully developed an interview preparation guide using Langchain which can effectively guide users in their interview preparation process and job search journeys by providing valuable insights and feedback regarding their performance. It generates a comprehensive list of questions pertaining to a user query as well.

    Language:Python

  • SayamAlt/AI-Powered-Research-Assistant-using-Langchain

    Successfully developed an LLM application which generates a summary, a list of citations and references and response to a user's query based on the research paper's content.

    Language:Python