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Subtxt with Muse is an AI-powered storytelling tool that provides expert advice and guidance to writers. It uses advanced natural language processing and machine learning algorithms to analyze your writing and offer actionable suggestions for improvement. Subtxt with Muse can help you develop complete, compelling narratives that captivate your audience from start to finish. It is designed to assist writers of all levels, from beginners to experienced professionals. With Subtxt with Muse, you can upload your draft, screenplay, or story idea and receive instant feedback and guidance. The AI will analyze your work and provide you with a detailed report that includes an assessment of your story's structure, character development, pacing, and more. Subtxt with Muse can also help you generate new ideas, explore different narrative possibilities, and overcome writer's block. It is an invaluable tool for any writer who wants to improve their craft and create stories that resonate with readers.

WhatToPack is a smart packing assistant designed to help travelers pack right every time. It offers tailored packing insights for different destinations, alleviating the stress of packing for travel. The application provides destination insights, packing feedback, personalized learning, and intelligent suggestions to enhance the travel preparations of users. With WhatToPack, users can receive guidance on packing choices, weather updates, cultural norms, activity tips, and safety recommendations specific to their travel spot, ensuring they are fully equipped for every journey.

Quackpad.co is a website that serves as a domain parking page created by Sedo. It provides resources and information related to domain ownership and management. The webpage does not offer any specific services or tools but rather acts as a placeholder for the domain owner. Users visiting the site can find general information about domain parking and may come across advertisements from third-party advertisers. Please note that Sedo, the platform behind Quackpad.co, does not endorse or control any specific services or trademarks mentioned on the page.

CommentAnalyzer is a website that provides resources and information related to comment analysis. The webpage is generated by the domain owner using Sedo Domain Parking. It is important to note that Sedo, the platform used for domain parking, does not have a direct relationship with third-party advertisers. The website does not offer any AI tool or application for comment analysis. Instead, it serves as a platform for domain parking and does not imply any association, endorsement, or recommendation of specific services or trademarks.

Avumi.com is a domain currently parked for free by GoDaddy.com. The website does not offer any specific services or products but rather serves as a placeholder for potential future use. It is important to note that any references to companies, products, or services on the site are not endorsed or associated with GoDaddy.com LLC.

second.dev is a domain that is currently parked for free, courtesy of GoDaddy.com. The website does not offer any specific services or products but rather serves as a placeholder for potential future use. It is important to note that any references to companies, products, or services on the site are not controlled by GoDaddy.com LLC and do not imply any association or endorsement by GoDaddy.

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Maximus.guru is a domain that has expired and is currently parked for free by GoDaddy.com. The website does not offer any specific services or products but rather displays a message indicating that the domain is no longer active. It is important to note that any references to companies, products, or services on this site are not endorsed or associated with GoDaddy.com LLC.

Tubeboost.pro is a domain that is currently parked for free, courtesy of GoDaddy.com. The website does not offer any specific services or products but rather serves as a placeholder for the domain. It is important to note that any references to companies, products, or services on the site are not controlled by GoDaddy.com LLC and do not indicate any endorsement or association with third-party advertisers.

Heybuddy.one is a domain that is currently parked for free, courtesy of GoDaddy.com. The website does not offer any specific services or products but rather serves as a placeholder for potential future use. It is important to note that any references to companies, products, or services on the site are not controlled by GoDaddy.com LLC and do not imply any association or endorsement by them.

Audioverflow.com is a domain that is currently parked for free, courtesy of GoDaddy.com. The website does not offer any specific AI tool or application but rather serves as a placeholder for a domain. It is not associated with any specific company, product, or service, and does not imply any endorsement from GoDaddy.com LLC.

The website christmas-images.net is currently parked for free by GoDaddy.com. It does not offer any specific content or services related to Christmas images. The site displays a copyright notice from GoDaddy, LLC, indicating that the domain is reserved. Please note that the site does not have any association with specific companies, products, or services, as stated in the disclaimer.

Metropolis is an artificial intelligence company that provides checkout-free payment for drivers and revenue-generating operations for real estate owners. Metropolis' computer vision technology enables drivers to enter and exit parking facilities without having to stop and pay. Metropolis also offers a variety of other services, including parking management, valet services, and event parking. Metropolis is committed to providing a seamless and efficient parking experience for drivers and real estate owners alike.

Metropolis is an artificial intelligence company that provides checkout-free payment for drivers and revenue-generating operations for real estate owners. Their computer vision technology enables drivers to enter and exit parking facilities without having to search for cash, fumble for a credit card, or reach for a ticket machine. Metropolis also offers tech-enabled facility management services that deliver increased productivity and efficiency. With over 6 million drivers using their platform and a presence in over 40 major metropolitan centers, Metropolis is a leading provider of AI-powered parking solutions.

DoNotPay is an AI-powered platform that helps consumers fight big corporations, protect their privacy, find hidden money, and beat bureaucracy. It offers a wide range of tools and services to help users with tasks such as disputing traffic tickets, canceling subscriptions, and getting refunds. DoNotPay is not a law firm and is not licensed to practice law. It provides a platform for legal information and self-help.

OSARO is an AI-powered automation tool designed to revolutionize warehouse operations by offering cutting-edge robotic piece-picking solutions. The tool utilizes proprietary SightWorks™ perception and control software, powered by advanced machine learning, to ensure unparalleled precision and reliability in tasks such as bagging, kitting, and mixed-case depalletizing. OSARO provides adaptive robotics that seamlessly integrate with AMR/ASRS systems, enhancing efficiency and creating better job opportunities. With flexible pricing models like Robot-as-a-Service (RaaS) plans and 24/7 worldwide customer support through OSARO Hypercare™, the tool offers a low-risk investment for businesses seeking smarter automation solutions.

SentiVeillance is an automated video analytics and surveillance solution developed by Neurotechnology. It offers real-time biometric face identification, tracking of people and vehicles, and automatic license plate recognition. The application provides algorithms for face identification, vehicle-human detection, and license plate recognition. SentiVeillance is used in various industries for security, traffic management, access control, and law enforcement. The software development kits enable the creation of unique recognition products. Customers have praised the mature and stable technology, along with the excellent technical support provided by Neurotechnology.

Captur is an AI-powered platform that enables users to automate manual image review workflows with easy-to-use APIs. The platform offers real-time guidance to improve user experience, provides AI models for various checks, and helps transform operations for enterprises. Captur's edge AI platform allows developers, product owners, and operations teams to build, test, deploy, and iterate AI models efficiently. The platform is designed to run on-device, ensuring real-time intelligence without lag or weak signals. Captur is a comprehensive solution for deploying edge AI into real-world operations, offering features such as live guidance, quick scanning, confidence-building, and privacy verification.

Vicarious is a turnkey robotics solutions integrator that uses AI to automate tasks that are too complex and versatile for traditional automation. The company's solutions are built for flexible needs, with instant changeovers in high mix operations and no fixturing required. Vicarious' solutions have a bottom-line impact, with a 50-90% reduction in labor hours and a 15-40% reduction in monthly costs. The company offers Robots-as-a-Service solutions powered by AI-backed robotics, including kitting, palletizing, packaging, and wall picking.

Sttabot.io is a domain parking webpage that provides resources and information about the domain name. The site offers the domain for sale and is generated by the domain owner using Sedo Domain Parking. It serves as a platform for potential buyers to inquire about purchasing the domain name.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

The 'judges' repository is a small library designed for using and creating LLM-as-a-Judge evaluators. It offers a curated set of LLM evaluators in a low-friction format for various use cases, backed by research. Users can use these evaluators off-the-shelf or as inspiration for building custom LLM evaluators. The library provides two types of judges: Classifiers that return boolean values and Graders that return scores on a numerical or Likert scale. Users can combine multiple judges using the 'Jury' object and evaluate input-output pairs with the '.judge()' method. Additionally, the repository includes detailed instructions on picking a model, sending data to an LLM, using classifiers, combining judges, and creating custom LLM judges with 'AutoJudge'.

The 'llm' package for Emacs provides an interface for interacting with Large Language Models (LLMs). It abstracts functionality to a higher level, concealing API variations and ensuring compatibility with various LLMs. Users can set up providers like OpenAI, Gemini, Vertex, Claude, Ollama, GPT4All, and a fake client for testing. The package allows for chat interactions, embeddings, token counting, and function calling. It also offers advanced prompt creation and logging capabilities. Users can handle conversations, create prompts with placeholders, and contribute by creating providers.

LLM-as-HH is a codebase that accompanies the paper ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. It introduces Language Hyper-Heuristics (LHHs) that leverage LLMs for heuristic generation with minimal manual intervention and open-ended heuristic spaces. Reflective Evolution (ReEvo) is presented as a searching framework that emulates the reflective design approach of human experts while surpassing human capabilities with scalable LLM inference, Internet-scale domain knowledge, and powerful evolutionary search. The tool can improve various algorithms on problems like Traveling Salesman Problem, Capacitated Vehicle Routing Problem, Orienteering Problem, Multiple Knapsack Problems, Bin Packing Problem, and Decap Placement Problem in both black-box and white-box settings.

AutoRound is an advanced weight-only quantization algorithm for low-bits LLM inference. It competes impressively against recent methods without introducing any additional inference overhead. The method adopts sign gradient descent to fine-tune rounding values and minmax values of weights in just 200 steps, often significantly outperforming SignRound with the cost of more tuning time for quantization. AutoRound is tailored for a wide range of models and consistently delivers noticeable improvements.

This repository provides an implementation of QA-MDT, integrating state-of-the-art models for music generation. It offers a Quality-Aware Masked Diffusion Transformer for enhanced music generation. The code is based on various repositories like AudioLDM, PixArt-alpha, MDT, AudioMAE, and Open-Sora. The implementation allows for training and fine-tuning the model with different strategies and datasets. The repository also includes instructions for preparing datasets in LMDB format and provides a script for creating a toy LMDB dataset. The model can be used for music generation tasks, with a focus on quality injection to enhance the musicality of generated music.

OpenMusic is a repository providing an implementation of QA-MDT, a Quality-Aware Masked Diffusion Transformer for music generation. The code integrates state-of-the-art models and offers training strategies for music generation. The repository includes implementations of AudioLDM, PixArt-alpha, MDT, AudioMAE, and Open-Sora. Users can train or fine-tune the model using different strategies and datasets. The model is well-pretrained and can be used for music generation tasks. The repository also includes instructions for preparing datasets, training the model, and performing inference. Contact information is provided for any questions or suggestions regarding the project.

Repopack is a powerful tool that packs your entire repository into a single, AI-friendly file. It optimizes your codebase for AI comprehension, is simple to use with customizable options, and respects Gitignore files for security. The tool generates a packed file with clear separators and AI-oriented explanations, making it ideal for use with Generative AI tools like Claude or ChatGPT. Repopack offers command line options, configuration settings, and multiple methods for setting ignore patterns to exclude specific files or directories during the packing process. It includes features like comment removal for supported file types and a security check using Secretlint to detect sensitive information in files.

LLM Data Scrapers is a collection of open source tools and scrapers designed to gather data for Large Language Models (LLMs). The repository includes various tools such as gitingest for extracting codebases, repomix for packing repositories into AI-friendly files, llm-scraper for converting webpages into structured data, crawl4ai for web crawling, and firecrawl for turning websites into LLM-ready markdown or structured data. Additionally, the repository offers tools like llmstxt-generator for generating training data, trafilatura for gathering web text and metadata, RepoToTextForLLMs for fetching repo content, marker for converting PDFs, reader for converting URLs to LLM-friendly inputs, and files-to-prompt for concatenating files into prompts for LLMs.

Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. It is designed to format your codebase for easy understanding by AI tools like Large Language Models (LLMs), Claude, ChatGPT, and Gemini. Repomix offers features such as AI optimization, token counting, simplicity in usage, customization options, Git awareness, and security-focused checks using Secretlint. It allows users to pack their entire repository or specific directories/files using glob patterns, and even supports processing remote Git repositories. The tool generates output in plain text, XML, or Markdown formats, with options for including/excluding files, removing comments, and performing security checks. Repomix also provides a global configuration option, custom instructions for AI context, and a security check feature to detect sensitive information in files.

GPTQModel is an easy-to-use LLM quantization and inference toolkit based on the GPTQ algorithm. It provides support for weight-only quantization and offers features such as dynamic per layer/module flexible quantization, sharding support, and auto-heal quantization errors. The toolkit aims to ensure inference compatibility with HF Transformers, vLLM, and SGLang. It offers various model supports, faster quant inference, better quality quants, and security features like hash check of model weights. GPTQModel also focuses on faster quantization, improved quant quality as measured by PPL, and backports bug fixes from AutoGPTQ.

LLM4AD is an open-source Python-based platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). It provides unified interfaces for methods, tasks, and LLMs, along with features like evaluation acceleration, secure evaluation, logs, GUI support, and more. The platform was originally developed for optimization tasks but is versatile enough to be used in other areas such as machine learning, science discovery, game theory, and engineering design. It offers various search methods and algorithm design tasks across different domains. LLM4AD supports remote LLM API, local HuggingFace LLM deployment, and custom LLM interfaces. The project is licensed under the MIT License and welcomes contributions, collaborations, and issue reports.

Awesome-LLM-RAG-Application is a repository that provides resources and information about applications based on Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) pattern. It includes a survey paper, GitHub repo, and guides on advanced RAG techniques. The repository covers various aspects of RAG, including academic papers, evaluation benchmarks, downstream tasks, tools, and technologies. It also explores different frameworks, preprocessing tools, routing mechanisms, evaluation frameworks, embeddings, security guardrails, prompting tools, SQL enhancements, LLM deployment, observability tools, and more. The repository aims to offer comprehensive knowledge on RAG for readers interested in exploring and implementing LLM-based systems and products.

The 'gritlm' repository provides all materials for the paper Generative Representational Instruction Tuning. It includes code for inference, training, evaluation, and known issues related to the GritLM model. The repository also offers models for embedding and generation tasks, along with instructions on how to train and evaluate the models. Additionally, it contains visualizations, acknowledgements, and a citation for referencing the work.

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

The AWS Healthcare and Life Sciences AI/ML Immersion Day workshops provide hands-on experience for customers to learn about AI/ML services, gain a deep understanding of AWS AI/ML services, and understand best practices for using AI/ML in the context of HCLS applications. The workshops cater to individuals at all levels, from machine learning experts to developers and managers, and cover topics such as training, testing, MLOps, deployment practices, and software development life cycle in the context of AI/ML. The repository contains notebooks that can be used in AWS Instructure-Led Labs or self-paced labs, offering a comprehensive learning experience for integrating AI/ML into applications.

The llama-recipes repository provides a scalable library for fine-tuning Llama 2, along with example scripts and notebooks to quickly get started with using the Llama 2 models in a variety of use-cases, including fine-tuning for domain adaptation and building LLM-based applications with Llama 2 and other tools in the LLM ecosystem. The examples here showcase how to run Llama 2 locally, in the cloud, and on-prem.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

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