Best AI tools for< Modify Model Pairs >

Generated Photos is an AI-powered platform that offers a wide range of unique, worry-free model photos. Users can generate expressive AI-generated faces and full-body human images in real-time, with the ability to create diverse models with specific parameters. The platform caters to various industries such as advertising, design, marketing, research, and machine learning, providing high-quality images for creative projects. With a vast database of pre-generated faces and humans, Generated Photos simplifies the process of finding and customizing images for different purposes.

RenderNet AI is a powerful tool for generating character-driven images and videos with unparalleled control. It allows users to create unique characters, perfect poses, modify images seamlessly, upscale creations for realism, and narrate stories with lifelike voices. RenderNet offers advanced features like FaceLock, ControlNet, and multi-model generations, setting it apart in character design and customization. The application is free to use with a daily credit limit, and users can join a vibrant creator community to collaborate and share ideas.

Fooocus is a cutting-edge AI-powered image generation and editing platform that empowers users to bring their creative visions to life. With advanced features like unique inpainting algorithms, image prompt enhancements, and versatile model support, Fooocus stands out as a leading platform in creative AI technology. Users can leverage Fooocus's capabilities to generate stunning images, edit and refine them with precision, and collaborate with others to explore new creative horizons.

Dify is an open-source platform for building AI applications that combines Backend-as-a-Service and LLMOps to streamline the development of generative AI solutions. It integrates support for mainstream LLMs, an intuitive Prompt orchestration interface, high-quality RAG engines, a flexible AI Agent framework, and easy-to-use interfaces and APIs. Dify allows users to skip complexity and focus on creating innovative AI applications that solve real-world problems. It offers a comprehensive, production-ready solution with a user-friendly interface.

GetImg.ai is an all-in-one AI creative toolkit that provides a suite of powerful AI tools for creating and editing images. With GetImg.ai, you can generate images from text, edit photos with words, expand pictures beyond their borders, animate images, or train custom AI models. The platform is easy to use and offers a variety of features and advantages that make it a valuable tool for creative professionals and anyone looking to create stunning visuals.

GPTHero is a free website that focuses on modifying text to bypass AI detectors. Users can input any text, and the algorithm will obscure it to make it seem more human. The platform aims to improve writing and research by utilizing AI technology while opposing AI detectors that hinder the use of GPT and other language models.

Amplication is an AI-powered platform for .NET and Node.js app development, offering the world's fastest way to build backend services. It empowers developers by providing customizable, production-ready backend services without vendor lock-ins. Users can define data models, extend and customize with plugins, generate boilerplate code, and modify the generated code freely. The platform supports role-based access control, microservices architecture, continuous Git sync, and automated deployment. Amplication is SOC-2 certified, ensuring data security and compliance.

BRIA.ai is a visual generative AI platform that provides developers and businesses with the tools they need to build and deploy AI-powered applications. The platform includes a suite of pre-trained foundation models, APIs, and tools that can be used to generate and modify images, videos, and other visual content. BRIA.ai is committed to responsible AI practices and ensures that all of its models are trained on licensed and safe-to-use data.

Filme is an AI-powered platform offering quality voice, image, and video editing tools. It provides a range of features such as AI voice changer, voice models, soundboard, voice generator, accent generator, text-to-speech in multiple languages, voice cloning, rap generator, speech-to-text transcription, AI music generation, video editing, watermark removal, background modification, and more. The platform caters to various use cases including voice transformation, content creation for social media, gaming, e-learning, and entertainment. Users can access a wide array of AI voices, celebrity voices, and AI music covers to enhance their creative projects.

DeepSwapper is a free online AI tool that allows users to instantly swap faces in photos and videos. With high-quality and realistic results, users can easily swap faces with celebrities, models, or friends. The tool offers single and multiple face swapping options, clear and realistic video face swaps, and versatile usage for social media, product promotions, or fun. DeepSwapper guarantees instant results, multiple face swaps in one click, and selective face swapping for group photos. Users can enjoy the service for free or opt for premium features for enhanced experience.

Real AI – Artificial Intelligence Photo Creator is an application that allows users to create or modify photos using AI (artificial intelligence) technology. The app offers a variety of features, including high technology, fast performance, free updates, 24/7 support, awesome widgets, and smooth integration. Users can use the app to create realistic photos, enhance existing photos, or create unique works of art.

Études is a pioneering firm that seamlessly merges creativity and functionality to redefine architectural excellence. They offer a comprehensive suite of professional services catering to a diverse clientele, including homeowners and commercial developers. Their services include renovation and restoration, continuous support, app access, consulting, project management, and architectural solutions. The Études Architect App allows collaboration among architects to showcase projects and explore the world of architecture. The Études Newsletter provides thought-provoking articles, case studies, and exclusive design insights. Testimonials highlight the time-saving benefits and valuable insights provided by Études.

NewFuku.com is an AI-powered platform that offers innovative solutions for transforming photos using artificial intelligence technology. Users can easily change backgrounds and outfits in their images with just a few simple steps, without the need for technical skills. The platform caters to a wide range of users, from individuals looking to enhance their photos to online retailers seeking to showcase their products in a creative and realistic manner. With its cutting-edge AI capabilities, NewFuku.com is revolutionizing the way people interact with digital images, providing high-quality, realistic transformations that respect various aspects of the original image.

FillDream.net is an AI tool designed to help users fill their dreams by generating images based on input prompts. Users can upload an image and input prompts such as 'Cabin', 'Lake', 'Rocket', or 'Tree' to create customized images. The website offers a simple and intuitive interface for users to interact with the AI technology and bring their creative ideas to life.

Lazy AI is an AI tool that enables users to quickly build and modify web apps with prompts and deploy them to the cloud with just one click. Users can create various applications such as customer portals, API endpoints for AI text summarization, metrics dashboards, web scrapers, chatbots, and discord bots. The platform offers a wide range of template categories and tools for automation, data mining, AI agents, dashboards, reporting, and more. Users can also access reusable templates from the Lazy AI community to streamline their development process.

Voice.ai is a free real-time voice changer and the largest ecosystem of free AI voice tools. With Voice.ai, you can change your voice in real-time, clone voices, create soundboards, and more. Voice.ai is perfect for streamers, content creators, gamers, and anyone who wants to have fun with their voice.

Vidura is a prompt management system integrated with multiple AI systems, designed to enhance the Generative AI user experience. It allows users to compose, organize, share, and export AI prompts efficiently. With features like prompt categorization, built-in templates, prompt history audit, and community sharing, Vidura aims to simplify the process of generating text and image responses with AI.

ChartAI is an AI tool that allows users to customize bar charts from screenshots. Users can upload their chart images, and ChartAI's visual recognition technology extracts the data to recreate the chart. Users can adjust the style, add or remove data, and change the chart type effortlessly. The tool simplifies the process of creating charts and provides quick updates based on user requests.

Pikaswaps is an AI-powered video editing tool that allows users to effortlessly replace objects, characters, and backgrounds in videos using advanced video inpainting technology. With Pikaswaps, users can unleash their creativity by transforming their videos with realistic and seamless modifications. The application offers precise selections, customizable swaps, and instant previews to help users create professional-quality video content with ease.

Tolgee is an AI-powered localization tool that offers in-context translation, AI translation, and developer tools to streamline the localization process for apps. It allows users to translate their apps to any language efficiently, ensuring accurate translations with the help of AI technology. Tolgee simplifies the localization workflow by providing a user-friendly interface and seamless integration with popular frameworks and technologies.

RouteLLM is a framework for serving and evaluating LLM routers. It allows users to launch an OpenAI-compatible API that routes requests to the best model based on cost thresholds. Trained routers are provided to reduce costs while maintaining performance. Users can easily extend the framework, compare router performance, and calibrate cost thresholds. RouteLLM supports multiple routing strategies and benchmarks, offering a lightweight server and evaluation framework. It enables users to evaluate routers on benchmarks, calibrate thresholds, and modify model pairs. Contributions for adding new routers and benchmarks are welcome.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

GPT-Subtrans is an open-source subtitle translator that utilizes large language models (LLMs) as translation services. It supports translation between any language pairs that the language model supports. Note that GPT-Subtrans requires an active internet connection, as subtitles are sent to the provider's servers for translation, and their privacy policy applies.

Abliteration is a tool that allows users to create abliterated models using transformers quickly and easily. It is not a tool for uncensorship, but rather for making models that will not explicitly refuse users. Users can clone the repository, install dependencies, and make abliterations using the provided commands. The tool supports adjusting parameters for stubborn models and offers various options for customization. Abliteration can be used for creating modified models for specific tasks or topics.

MME-RealWorld is a benchmark designed to address real-world applications with practical relevance, featuring 13,366 high-resolution images and 29,429 annotations across 43 tasks. It aims to provide substantial recognition challenges and overcome common barriers in existing Multimodal Large Language Model benchmarks, such as small data scale, restricted data quality, and insufficient task difficulty. The dataset offers advantages in data scale, data quality, task difficulty, and real-world utility compared to existing benchmarks. It also includes a Chinese version with additional images and QA pairs focused on Chinese scenarios.

This repository provides an original implementation of Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. It includes tools for neuron-level pruning, pruning based on set difference, Wanda/SNIP score dumping, rank-level pruning, and rank removal with orthogonal projection. Users can specify parameters like prune method, datasets, sparsity ratio, model, and save location to evaluate and modify neural networks for safety alignment.

This repository contains code for training reward models for Deep Reinforcement Learning-based Reward-modulated Hierarchical Fine-tuning (DRL-based RLHF), Iterative Selection Fine-tuning (Rejection sampling fine-tuning), and iterative Decision Policy Optimization (DPO). The reward models are trained using a Bradley-Terry model based on the Gemma and Mistral language models. The resulting reward models achieve state-of-the-art performance on the RewardBench leaderboard for reward models with base models of up to 13B parameters.

Uni-MoE is a MoE-based unified multimodal model that can handle diverse modalities including audio, speech, image, text, and video. The project focuses on scaling Unified Multimodal LLMs with a Mixture of Experts framework. It offers enhanced functionality for training across multiple nodes and GPUs, as well as parallel processing at both the expert and modality levels. The model architecture involves three training stages: building connectors for multimodal understanding, developing modality-specific experts, and incorporating multiple trained experts into LLMs using the LoRA technique on mixed multimodal data. The tool provides instructions for installation, weights organization, inference, training, and evaluation on various datasets.

MicroLens is a content-driven micro-video recommendation dataset at scale. It provides a large dataset with multimodal data, including raw text, images, audio, video, and video comments, for tasks such as multi-modal recommendation, foundation model building, and fairness recommendation. The dataset is available in two versions: MicroLens-50K and MicroLens-100K, with extracted features for multimodal recommendation tasks. Researchers can access the dataset through provided links and reach out to the corresponding author for the complete dataset. The repository also includes codes for various algorithms like VideoRec, IDRec, and VIDRec, each implementing different video models and baselines.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

NineRec is a benchmark dataset suite for evaluating transferable recommendation models. It provides datasets for pre-training and transfer learning in recommender systems, focusing on multimodal and foundation model tasks. The dataset includes user-item interactions, item texts in multiple languages, item URLs, and raw images. Researchers can use NineRec to develop more effective and efficient methods for pre-training recommendation models beyond end-to-end training. The dataset is accompanied by code for dataset preparation, training, and testing in PyTorch environment.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

Video-MME is the first-ever comprehensive evaluation benchmark of Multi-modal Large Language Models (MLLMs) in Video Analysis. It assesses the capabilities of MLLMs in processing video data, covering a wide range of visual domains, temporal durations, and data modalities. The dataset comprises 900 videos with 256 hours and 2,700 human-annotated question-answer pairs. It distinguishes itself through features like duration variety, diversity in video types, breadth in data modalities, and quality in annotations.

NExT-GPT is an end-to-end multimodal large language model that can process input and generate output in various combinations of text, image, video, and audio. It leverages existing pre-trained models and diffusion models with end-to-end instruction tuning. The repository contains code, data, and model weights for NExT-GPT, allowing users to work with different modalities and perform tasks like encoding, understanding, reasoning, and generating multimodal content.

Co-LLM (Collaborative Language Models) is a tool for learning to decode collaboratively with multiple language models. It provides a method for data processing, training, and inference using a collaborative approach. The tool involves steps such as formatting/tokenization, scoring logits, initializing Z vector, deferral training, and generating results using multiple models. Co-LLM supports training with different collaboration pairs and provides baseline training scripts for various models. In inference, it uses 'vllm' services to orchestrate models and generate results through API-like services. The tool is inspired by allenai/open-instruct and aims to improve decoding performance through collaborative learning.

Odyssey is a framework designed to empower agents with open-world skills in Minecraft. It provides an interactive agent with a skill library, a fine-tuned LLaMA-3 model, and an open-world benchmark for evaluating agent capabilities. The framework enables agents to explore diverse gameplay opportunities in the vast Minecraft world by offering primitive and compositional skills, extensive training data, and various long-term planning tasks. Odyssey aims to advance research on autonomous agent solutions by providing datasets, model weights, and code for public use.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

HF-Waitress is a powerful server application for deploying and interacting with HuggingFace Transformer models. It simplifies running open-source Large Language Models (LLMs) locally on-device, providing on-the-fly quantization via BitsAndBytes, HQQ, and Quanto. It requires no manual model downloads, offers concurrency, streaming responses, and supports various hardware and platforms. The server uses a `config.json` file for easy configuration management and provides detailed error handling and logging.

Extensive guide for ChatGPT models. 🛈 This software is free and open-source; anyone can redistribute it and/or modify it.

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GPT insights and explanations. 🛈 This software is free and open-source; anyone can redistribute it and/or modify it.

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Upload an image to recreate it using DALL-E 3. Each request should include 3 images with unique IDs and corresponding Midjourney prompts. You can instruct GPT to make modifications to a specific image by ID or recreate images using Midjourney. —公众号：Vito的AI力量

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