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Co-LLM-Agents is a repository containing codes for the paper 'Building Cooperative Embodied Agents Modularly with Large Language Models'. The project focuses on developing cooperative embodied agents using large language models, with a specific emphasis on the ThreeDWorld Multi-Agent Transport environment. The repository provides implementations, installation instructions, and example scripts for running experiments with the CoELA model. It extends the ThreeDWorld Transport Challenge into a multi-agent setting, enabling agents to transport target objects using containers and communicate with each other. Additionally, it includes the Communicative Watch-And-Help challenge, where agents can send messages to each other while performing tasks such as preparing meals, washing dishes, and setting up dinner tables.

searchGPT is an open-source project that aims to build a search engine based on Large Language Model (LLM) technology to provide natural language answers. It supports web search with real-time results, file content search, and semantic search from sources like the Internet. The tool integrates LLM technologies such as OpenAI and GooseAI, and offers an easy-to-use frontend user interface. The project is designed to provide grounded answers by referencing real-time factual information, addressing the limitations of LLM's training data. Contributions, especially from frontend developers, are welcome under the MIT License.

This repository contains code for building cooperative embodied agents modularly with large language models. The agents are trained to perform tasks in two different environments: ThreeDWorld Multi-Agent Transport (TDW-MAT) and Communicative Watch-And-Help (C-WAH). TDW-MAT is a multi-agent environment where agents must transport objects to a goal position using containers. C-WAH is an extension of the Watch-And-Help challenge, which enables agents to send messages to each other. The code in this repository can be used to train agents to perform tasks in both of these environments.

airgeddon-plugins is a collection of plugins for the airgeddon tool, designed to enhance its functionality and address specific issues related to wireless network security. These plugins include features such as performing dictionary online attacks on WPA3 networks, allowing all characters on Captive Portal passwords, and fixing compatibility issues with certain Realtek chipsets. The plugins are designed to be deployed within the airgeddon tool directory, providing additional capabilities and options for users.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

Exactly like "Laundry Buddy", but evil 😈

Informative guide on finding the best hand soap.

Ask me anything about stains, settings, sorting and everything laundry.

A playful and informative guide on everything about the letter 'W'.