Topic: "llm-applications"
ntt-dkiku/route-explainer
The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)
Language: Python - Size: 833 KB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 12 - Forks: 1

boredom1234/CodeWhisperer
A powerful CLI tool that uses vector embeddings and LLMs (via Together AI) to help developers understand and explore codebases through natural language. Ask questions about your code in plain English, get context-aware responses with relevance scoring, manage multiple projects, and integrate directly with GitHub repositories.
Language: Python - Size: 866 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

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 Notebook - Size: 569 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

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 Notebook - Size: 737 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

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 Notebook - Size: 1.04 MB - Last synced at: about 23 hours ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Daaruk/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 - Size: 822 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Samhita-kolluri/contrastive-module
Semantic Retrieval Engine for Contrasting Ideas and Opposing Viewpoints.
Size: 5.54 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

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 - Size: 827 KB - Last synced at: 14 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

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 - Size: 20.5 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

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 - Size: 7.81 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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 Notebook - Size: 379 KB - Last synced at: 17 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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.
Size: 4.19 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
