15350 listings found(showing 14651-14700)
This tool automates the parsing and interpretation of shift scheduling data using large language models. It is designed for organizations looking to streamline their scheduling processes with AI assistance.
LLM Chatbot utilizes the LangChain library to perform question answering by retrieving information from various sources. It is designed for developers looking to integrate advanced question-answering capabilities into their applications.
This tool visualizes how pre-trained data is utilized in large language models using D3.js. It is designed for data scientists and AI researchers looking to better understand LLM data processing.
This repository offers a collection of practical projects and tools focused on exploring Large Language Models (LLMs). It is ideal for developers and researchers looking to enhance their skills in fine-tuning, prompt engineering, and MLOps workflows.
This tool automatically generates unit tests for Java methods using large language models. It is designed for developers looking to enhance their testing processes with AI-driven automation.
This repository explores the mechanisms of LLM Guardrails, focusing on tools like NVIDIA’s NeMo Guardrails. It is designed for developers and researchers interested in ensuring reliable and ethical outputs from language models.
LLM Judge PSAI is an evaluation system designed to assess the performance of computer-use agents on web browsing and interaction tasks. It provides detailed scoring and feedback based on agent trajectories and results, making it ideal for developers and researchers in AI agent performance evaluation.
LLM Operations provides tools for building chat and retrieval-augmented generation applications using LangChain, LangGraph, and Semantic Kernel. It is designed for developers looking to create advanced AI-driven applications with ease.
This repository provides tools and documentation optimized for large language models (LLMs) to enhance contextual usage. It is ideal for developers and researchers looking to improve their LLM implementations with practical resources.
This tool leverages AI to analyze legal supply chain contracts, extracting key terms and identifying potential risks. It is designed for legal professionals and organizations looking to streamline contract review processes.
This tool allows users to permute and evaluate various combinations of models, prompts, and contexts to effectively rephrase user messages for retrieval-augmented generation (RAG) scenarios. It is ideal for developers and researchers looking to enhance the performance of language models in specific applications.
LLM Quiz Solver is an AI-powered tool that automatically solves multiple-choice questions using large language models. It is designed for educators and students looking to streamline quiz evaluation and automate responses.
This repository explores applications of Retrieval-Augmented Generation (RAG) using large language models. It is ideal for developers and researchers interested in enhancing chatbot capabilities with advanced AI techniques.
LLM Threat Lab is an open-source tool designed for ethical red-teaming of large language models, simulating various attack vectors. It is ideal for security researchers and developers looking to assess and improve the robustness of AI systems.
LLM Tooling provides simple utilities for experimenting with large language models using llama.cpp and other frameworks. It is designed for developers and researchers looking to explore and test LLM capabilities locally.
LLMPane is a type-safe streaming chat backend for Python that integrates seamlessly with a React UI. It is designed for developers looking to implement AI agents with conversation persistence and server-sent events.
This repository provides insights into building production-ready large language models (LLMs) using techniques like prompt engineering and fine-tuning. It is ideal for developers and data scientists looking to understand various frameworks and methodologies involved in LLM deployment.
LMPREP is a command-line interface tool designed to streamline the preparation of files for large language model projects. It is ideal for developers and researchers looking to efficiently organize their datasets for LLM applications.
This tool enables users to process unstructured documents for semantic search and summarization while ensuring privacy. It is ideal for individuals or organizations looking for a secure, offline solution to manage and query their documents.
Local AI PR Reviewer is a privacy-first, automated code review tool that analyzes Git diffs using local LLMs. It is designed for developers seeking intelligent code reviews without cloud dependency or data sharing.
Local Analyst is a multimodal data analysis tool that allows users to analyze various file types offline, including CSV, JSON, and images. It is designed for data analysts and developers looking for a versatile solution to perform data analysis without relying on cloud services.
This tool allows users to add secure watermarks to various file types, including images, videos, and documents. It is ideal for content creators and professionals who need to protect their digital assets with watermarks.
Local LLM Agents is a multi-agent orchestration framework designed for local large language models, enabling parallel execution and TDD decomposition. It is ideal for developers looking to implement ReAct patterns in their applications.
Local LLM for Robots is an intelligent agent that integrates a local Large Language Model with tool-calling to control and query robot functions using natural language. It is designed for developers and engineers working with embedded hardware in robotics applications.
The LocalLLMTranslate plugin enables users to utilize a locally or remotely hosted LLM for translation within the OmegaT CAT tool. It is ideal for translators seeking to enhance their workflow with AI-driven translation capabilities.
Local LLM Utilities enables users to leverage local language models for Retrieval-Augmented Generation, integrating with local Chroma and supporting function calls. This tool is ideal for developers looking to enhance their applications with advanced local AI capabilities.
This tool provides a local retrieval-augmented generation (RAG) pipeline specifically designed for processing Markdown documents. It is ideal for developers looking to implement local AI solutions using .NET technologies.
LocalAGI is a fully-local LLM-based agent inspired by BabyAGI, designed for users seeking to run AI models without external dependencies. It is ideal for developers and researchers interested in local AI implementations and experimentation.
This tool provides a Python-based server that allows ChatGPT to access the localhost shell. It is ideal for developers looking to integrate local command execution capabilities into their ChatGPT applications.
Log Analyzer with AI is a Streamlit-based tool designed for AI-powered log analysis, allowing users to upload CSV logs and visualize data. It is ideal for data analysts and developers seeking to detect patterns and gain insights from log data using advanced AI techniques.
Log Auto Pattern Pipeline is a CLI tool that utilizes LLM to discover regex patterns from log streams. It is designed for developers and data engineers looking to automate log analysis and pattern recognition.
This AI-powered tool analyzes news articles for logical fallacies, providing insights into the reasoning behind the content. It is designed for journalists, educators, and anyone interested in critical thinking and media literacy.
LogSpotAI is a lightweight AI-assisted log analysis tool that helps detect suspicious or anomalous log entries using a large language model. It is designed for developers and system administrators looking for an easy-to-understand and extendable solution for log analysis.
Loma Autos AI Agent is a multichannel AI receptionist that integrates with various APIs to automate lead workflows and enhance customer interactions. It is designed for businesses looking to streamline their reception processes and improve efficiency through automation.
Loom
Loom is an advanced multi-agent orchestrator that enables users to weave parallel intelligence into their terminal. It is designed for developers looking to enhance their coding efficiency through specialized subagents that can debate, debug, and synthesize complex codebases.
Lumina AI is a document processing tool designed specifically for college students, leveraging AI to enhance study efficiency. It integrates with LangChain and ChromaDB to provide advanced document handling capabilities.
LUNA OS is an autonomous computer use agent designed to streamline user interactions with their systems. It is ideal for developers looking to enhance automation and efficiency in local computing tasks.
Lyra Trainer is a desktop GUI designed for training, merging, converting, and quantizing large language models using LoRA and GGUF tools. It is ideal for developers and researchers looking to streamline their model training processes on local systems.
MalAgent AI is an automated malware analysis and generation system designed for cybersecurity professionals. It utilizes Semantic Kernel-style planning and Model Context Protocol for dynamic tool integration, making it a valuable resource for malware researchers and analysts.
Mamba Agents is a simple and extensible AI agent framework that simplifies the development of AI agents by providing production-ready infrastructure. It is ideal for developers looking to streamline their agent's logic while managing operational complexities like context window management and cost estimation.
Mandosi is a multi-agent orchestration framework that enables agents to maintain persistent memory, ensuring they never forget their purpose. It is designed for developers looking to build complex agent-based systems with memory capabilities.
Marketing Agent is a multi-agent marketing campaign planner that utilizes Google ADK and Gemini. It is designed for marketers looking to streamline their campaign planning process with AI-driven insights.
This tool is a fully functional multi-agent marketing and analytics system that automates customer analysis, personalized email generation, and outbound campaigns. It is designed for marketers and businesses looking to leverage AI for enhanced marketing strategies.
This repository provides hands-on projects to build smarter systems using intelligent agents. It is ideal for developers and learners looking to deepen their understanding of agentic design patterns.
This repository provides a series of tutorials focused on mastering PydanticAI, a powerful data validation and settings management library for Python. It is ideal for developers looking to enhance their skills in AI applications using Pydantic.
Math Agent AI Planet is a Retrieval-Augmented Generation (RAG) system that emulates a mathematical professor by providing step-by-step solutions to math questions. It is ideal for educators and students seeking an interactive tool to enhance their understanding of mathematics.
Maximous is a lightweight SQLite brain designed for multi-agent orchestration. It is ideal for developers looking to implement efficient agent communication and data management in their applications.
MCBE AI Agent is a tool that enables the integration of large language models within the Minecraft Bedrock Edition (MCBE) using a WebSocket server. It is designed for game developers and AI enthusiasts looking to enhance gameplay with AI capabilities.
MCP Assistant Playground is a Streamlit-based chatbot interface that utilizes OpenAI GPT-4o to intelligently route user input to various custom tools. It is designed for developers looking to integrate multiple functionalities such as chat, image generation, and text-to-speech into their applications.
MCP Browser Inspector is a powerful tool designed for capturing console logs, network errors, and DOM elements, with optional login automation using Playwright. It is ideal for developers and testers looking to enhance their web scraping and automation capabilities.