Best AI tools for< Generate Model >

VModel.AI is an AI fashion models generator that revolutionizes on-model photography for fashion retailers. It utilizes artificial intelligence to create high-quality on-model photography without the need for elaborate photoshoots, reducing model photography costs by 90%. The tool helps diversify stores, improve E-commerce engagement, reduce returns, promote diversity and inclusion in fashion, and enhance product offerings.

SellerPic is an AI image tool designed specifically for e-commerce sellers to enhance their product images effortlessly. It offers AI Fashion Model and AI Product Image features to transform DIY snapshots into professional, studio-quality images in a fraction of the time. SellerPic focuses on boosting sales by providing high-quality product images that captivate the audience and improve conversion rates. Trusted by sellers across various platforms, SellerPic is a game-changer for e-commerce marketing teams, creatives, and store owners.

PixelPet is an AI-powered online tool that offers stable diffusion instant access to hundreds of models for generating hyper-realistic images in 1344x768px resolution. It provides universal understanding with auto-translation for all languages and features Prompt Magic to boost prompts for awesome results. Empowered by the latest Stable Diffusion models, PixelPet allows users to create stunning images for free straight from their favorite messenger app.

Qlik AutoML is an AI tool that offers automated machine learning for analytics teams. It allows users to create machine learning experiments, identify key drivers in data, train models, and make predictions. With a focus on no-code machine learning, Qlik AutoML simplifies the process of generating predictive models and understanding outcomes. The tool enables users to explore predictive data, test what-if scenarios, and leverage AI-powered connectors for seamless integration with other AI and machine learning tools.

SkinGenerator.io is an AI-powered Minecraft Skin Generator that allows users to create custom skins for the popular video game Minecraft. The tool uses generative art models to transform text prompts into unique in-game skins, providing a quick and easy way for players to personalize their characters. Users can choose from different subscription plans to access additional skin generations and new models. SkinGenerator.io is not affiliated with Microsoft or Mojang, but offers a user-friendly interface for skin creation.

NEX is a controllable AI image generation tool designed for product creative image suite. It offers a variety of multimodal controls, IP-consistent models, and team workspaces to bring ideas to life. With fine-grained controls like pose, color, and character consistency, NEX supports any creative task. It provides tailored generative media models for various applications, private and custom-built AI models, and collaborative workspaces for secure data sharing. NEX is ideal for creative enterprises in media & entertainment, gaming, fashion, and more, offering up to 10x cost reduction in model development compared to competitors.

AI Findr is an AI tool directory that showcases the best AI tools of 2024. Users can discover various AI categories and submit their startup for visibility. The platform offers a range of AI tools for different purposes, such as AI-generated models for fashion ecommerce, ad generation, art creation, customer service, task management, education assistance, image generation, and more. AI Findr Tools Directory is updated daily with new tools and features, providing users with innovative solutions powered by AI technology.

Sloyd is an AI-powered 3D model generator that allows users to create 3D models from text prompts. The platform offers a wide range of features, including a huge 3D model library, easy customization of 3D models, and ready-to-use 3D models. Sloyd is ideal for game developers, designers, and 3D enthusiasts who need to create high-quality 3D models quickly and efficiently.

Swapper is a peer-to-peer fashion marketplace where users can buy, sell, and swap pre-owned clothing items. The platform aims to promote sustainable fashion practices by encouraging the reuse and recycling of clothing. Users can create listings for their items, browse through a wide selection of clothing, and connect with other fashion enthusiasts. Swapper provides a convenient and eco-friendly way for individuals to refresh their wardrobe without contributing to fast fashion's negative environmental impact.

Enhans AI Model Generator is an advanced AI tool designed to help users generate AI models efficiently. It utilizes cutting-edge algorithms and machine learning techniques to streamline the model creation process. With Enhans AI Model Generator, users can easily input their data, select the desired parameters, and obtain a customized AI model tailored to their specific needs. The tool is user-friendly and does not require extensive programming knowledge, making it accessible to a wide range of users, from beginners to experts in the field of AI.

Uwear.ai is an AI tool that allows users to easily create stunningly complete photos of AI-generated fashion models in just a few clicks. It turns flat lay photos into studio-quality model visuals, eliminating the need for 3D designs, mannequins, or photos of the product already worn. The platform uses its proprietary AI model to keep the generated clothes as close as possible to the input, helping users sell more by generating realistic human models of different sizes and ethnicities.

Takomo.ai is a no-code AI builder that allows users to connect and deploy AI models in seconds. With Takomo.ai, users can combine the best AI models in a simple visual builder to create unique AI applications. Takomo.ai offers a variety of features, including a drag-and-drop builder, pre-trained ML models, and a single API call for accessing multi-model pipelines.

Masterpiece Studio is a powerful 3D creation tool that allows users to generate, edit, share, and use 3D models. With its intuitive interface and comprehensive set of features, Masterpiece Studio is perfect for artists, designers, engineers, and anyone else who wants to create stunning 3D models.

NEX is a controllable AI image generation tool designed for product creative image suite. It offers a variety of multimodal controls to generate and reimagine images according to user preferences. With IP-consistent models and team workspaces, NEX empowers users to bring their creative ideas to life. The tool supports fine-grained controls like pose, color, and character consistency, making it suitable for various creative tasks across industries such as media, entertainment, gaming, and fashion. NEX provides data-safe workspaces, private and custom-built AI models, and tailored generative media models for professional use.

Cogitotech is an AI tool that specializes in data annotation and labeling expertise. The platform offers a comprehensive suite of services tailored to meet training data needs for computer vision models and AI applications. With a decade-long industry exposure, Cogitotech provides high-quality training data for industries like healthcare, financial services, security, and more. The platform helps minimize biases in AI algorithms and ensures accurate and reliable training data solutions for deploying AI in real-life systems.

SWAPP is an AI-powered automation tool designed for architects to streamline documentation and modeling tasks. It automates tedious processes, reduces costs, and ensures consistency in architectural projects. SWAPP supports complete annotation, dimensioning, tagging, and customization based on firm-specific standards. It integrates with popular BIM software, enhancing workflows and efficiency. The tool is trusted by leading architects worldwide for its 2D-to-3D generative features and comprehensive automation capabilities.

Canvas AI is an innovative AI tool designed to assist businesses in generating strategy canvases and business models. It leverages artificial intelligence to provide suggestions, templates, and visualizations that enhance strategic insights and decision-making. With features like AI-driven content generation, image illustration, and product management insights, Canvas AI aims to revolutionize the way businesses innovate and strategize. The tool is user-friendly and accessible, offering a seamless experience for users to co-create, innovate, and transform their business ideas into actionable strategies.

Graphite Note is a no-code AI tool that helps businesses transform data into key drivers, predictions, and next-best actions. It is designed to be user-friendly and accessible to businesses of all sizes, even those without a data science team. With Graphite Note, businesses can quickly and easily generate AI models, understand patterns in their data, predict future outcomes, and get actionable insights. This can help businesses make better decisions, improve their operations, and grow their revenue.

Kingy AI is a platform that showcases the best AI applications, tools, and platforms available on the web. It features a wide range of AI-powered solutions for various tasks such as image and video generation, music creation, academic writing, and more. The website provides in-depth reviews and guides on the latest AI technologies, offering insights into how AI is revolutionizing different industries.

Instant 3D AI is an online tool that utilizes artificial intelligence to generate 3D models instantly. Users can create 3D models without the need for complex software or technical skills. The tool simplifies the process of creating 3D models by automating the generation process through AI algorithms. With Instant 3D AI, users can quickly bring their ideas to life in a 3D format, making it ideal for designers, artists, and hobbyists looking to visualize their concepts in a 3D space.

LLMs Know More Than They Show is a repository containing code to reproduce the results in the paper. It includes scripts to generate model answers, extract exact answers, probe all layers and tokens, probe specific layers and tokens, conduct generalization experiments, perform resampling for error type probing and answer selection experiments, and run other baselines like logprob detection and p_true detection. The repository supports various datasets such as TriviaQA, Movies, HotpotQA, Winobias, Winogrande, NLI, IMDB, Math, and Natural questions. It also provides supported models like Mistral-7B-Instruct-v0.2, Mistral-7B-v0.3, Meta-Llama-3-8B, and Meta-Llama-3-8B-Instruct.

Instruct NER is a solution for complex Named Entity Recognition tasks, including Nested NER, based on modern Large Language Models (LLMs). It provides tools for dataset creation, training, automatic metric calculation, inference, error analysis, and model implementation. Users can create instructions for LLM, build dictionaries with labels, and generate model input templates. The tool supports various entity types and datasets, such as RuDReC, NEREL-BIO, CoNLL-2003, and MultiCoNER II. It offers training scripts for LLMs and metric calculation functions. Instruct NER models like Llama, Mistral, T5, and RWKV are implemented, with HuggingFace models available for adaptation and merging.

LiveBench is a benchmark tool designed for Language Model Models (LLMs) with a focus on limiting contamination through monthly new questions based on recent datasets, arXiv papers, news articles, and IMDb movie synopses. It provides verifiable, objective ground-truth answers for accurate scoring without an LLM judge. The tool offers 18 diverse tasks across 6 categories and promises to release more challenging tasks over time. LiveBench is built on FastChat's llm_judge module and incorporates code from LiveCodeBench and IFEval.

MFLUX is a line-by-line port of the FLUX implementation in the Huggingface Diffusers library to Apple MLX. It aims to run powerful FLUX models from Black Forest Labs locally on Mac machines. The codebase is minimal and explicit, prioritizing readability over generality and performance. Models are implemented from scratch in MLX, with tokenizers from the Huggingface Transformers library. Dependencies include Numpy and Pillow for image post-processing. Installation can be done using `uv tool` or classic virtual environment setup. Command-line arguments allow for image generation with specified models, prompts, and optional parameters. Quantization options for speed and memory reduction are available. LoRA adapters can be loaded for fine-tuning image generation. Controlnet support provides more control over image generation with reference images. Current limitations include generating images one by one, lack of support for negative prompts, and some LoRA adapters not working.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

Tiny LLM zh is a project aimed at building a small-parameter Chinese language large model for quick entry into learning large model-related knowledge. The project implements a two-stage training process for large models and subsequent human alignment, including tokenization, pre-training, instruction fine-tuning, human alignment, evaluation, and deployment. It is deployed on ModeScope Tiny LLM website and features open access to all data and code, including pre-training data and tokenizer. The project trains a tokenizer using 10GB of Chinese encyclopedia text to build a Tiny LLM vocabulary. It supports training with Transformers deepspeed, multiple machine and card support, and Zero optimization techniques. The project has three main branches: llama2_torch, main tiny_llm, and tiny_llm_moe, each with specific modifications and features.

IntelliNode is a javascript module that integrates cutting-edge AI models like ChatGPT, LLaMA, WaveNet, Gemini, and Stable diffusion into projects. It offers functions for generating text, speech, and images, as well as semantic search, multi-model evaluation, and chatbot capabilities. The module provides a wrapper layer for low-level model access, a controller layer for unified input handling, and a function layer for abstract functionality tailored to various use cases.

MLX-VLM is a package designed for running Vision LLMs on Mac systems using MLX. It provides a convenient way to install and utilize the package for processing large language models related to vision tasks. The tool simplifies the process of running LLMs on Mac computers, offering a seamless experience for users interested in leveraging MLX for vision-related projects.

Ollama AI is a Ruby gem designed to interact with Ollama's API, allowing users to run open source AI LLMs (Large Language Models) locally. The gem provides low-level access to Ollama, enabling users to build abstractions on top of it. It offers methods for generating completions, chat interactions, embeddings, creating and managing models, and more. Users can also work with text and image data, utilize Server-Sent Events for streaming capabilities, and handle errors effectively. Ollama AI is not an official Ollama project and is distributed under the MIT License.

Awesome MLSecOps is a curated list of open-source tools, resources, and tutorials for MLSecOps (Machine Learning Security Operations). It includes a wide range of security tools and libraries for protecting machine learning models against adversarial attacks, as well as resources for AI security, data anonymization, model security, and more. The repository aims to provide a comprehensive collection of tools and information to help users secure their machine learning systems and infrastructure.

The vscode-dbt-power-user is an open-source extension that enhances the functionality of Visual Studio Code to seamlessly work with dbt™. It provides features such as auto-complete for dbt™ code, previewing query results, column lineage visualization, generating dbt™ models, documentation generation, deferring model builds, running parent/child models and tests with a click, compiled query preview and explanation, project health check, SQL validation, BigQuery cost estimation, and other features like dbt™ logs viewer. The extension is fully compatible with dev containers, code spaces, and remote extensions, supporting dbt™ versions above 1.0.

The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.

RAVE is a variational autoencoder for fast and high-quality neural audio synthesis. It can be used to generate new audio samples from a given dataset, or to modify the style of existing audio samples. RAVE is easy to use and can be trained on a variety of audio datasets. It is also computationally efficient, making it suitable for real-time applications.

Lean Copilot is a tool that enables the use of large language models (LLMs) in Lean for proof automation. It provides features such as suggesting tactics/premises, searching for proofs, and running inference of LLMs. Users can utilize built-in models from LeanDojo or bring their own models to run locally or on the cloud. The tool supports platforms like Linux, macOS, and Windows WSL, with optional CUDA and cuDNN for GPU acceleration. Advanced users can customize behavior using Tactic APIs and Model APIs. Lean Copilot also allows users to bring their own models through ExternalGenerator or ExternalEncoder. The tool comes with caveats such as occasional crashes and issues with premise selection and proof search. Users can get in touch through GitHub Discussions for questions, bug reports, feature requests, and suggestions. The tool is designed to enhance theorem proving in Lean using LLMs.

Prometheus-Eval is a repository dedicated to evaluating large language models (LLMs) in generation tasks. It provides state-of-the-art language models like Prometheus 2 (7B & 8x7B) for assessing in pairwise ranking formats and achieving high correlation scores with benchmarks. The repository includes tools for training, evaluating, and using these models, along with scripts for fine-tuning on custom datasets. Prometheus aims to address issues like fairness, controllability, and affordability in evaluations by simulating human judgments and proprietary LM-based assessments.

Arena-Hard-Auto-v0.1 is an automatic evaluation tool for instruction-tuned LLMs. It contains 500 challenging user queries. The tool prompts GPT-4-Turbo as a judge to compare models' responses against a baseline model (default: GPT-4-0314). Arena-Hard-Auto employs an automatic judge as a cheaper and faster approximator to human preference. It has the highest correlation and separability to Chatbot Arena among popular open-ended LLM benchmarks. Users can evaluate their models' performance on Chatbot Arena by using Arena-Hard-Auto.

Steel-LLM is a project to pre-train a large Chinese language model from scratch using over 1T of data to achieve a parameter size of around 1B, similar to TinyLlama. The project aims to share the entire process including data collection, data processing, pre-training framework selection, model design, and open-source all the code. The goal is to enable reproducibility of the work even with limited resources. The name 'Steel' is inspired by a band '万能青年旅店' and signifies the desire to create a strong model despite limited conditions. The project involves continuous data collection of various cultural elements, trivia, lyrics, niche literature, and personal secrets to train the LLM. The ultimate aim is to fill the model with diverse data and leave room for individual input, fostering collaboration among users.

LLM-Blender is a framework for ensembling large language models (LLMs) to achieve superior performance. It consists of two modules: PairRanker and GenFuser. PairRanker uses pairwise comparisons to distinguish between candidate outputs, while GenFuser merges the top-ranked candidates to create an improved output. LLM-Blender has been shown to significantly surpass the best LLMs and baseline ensembling methods across various metrics on the MixInstruct benchmark dataset.

Empower Functions is a family of large language models (LLMs) that provide GPT-4 level capabilities for real-world 'tool using' use cases. These models offer compatibility support to be used as drop-in replacements, enabling interactions with external APIs by recognizing when a function needs to be called and generating JSON containing necessary arguments based on user inputs. This capability is crucial for building conversational agents and applications that convert natural language into API calls, facilitating tasks such as weather inquiries, data extraction, and interactions with knowledge bases. The models can handle multi-turn conversations, choose between tools or standard dialogue, ask for clarification on missing parameters, integrate responses with tool outputs in a streaming fashion, and efficiently execute multiple functions either in parallel or sequentially with dependencies.

Codellm-devkit (CLDK) is a Python library that serves as a multilingual program analysis framework bridging traditional static analysis tools and Large Language Models (LLMs) specialized for code (CodeLLMs). It simplifies the process of analyzing codebases across multiple programming languages, enabling the extraction of meaningful insights and facilitating LLM-based code analysis. The library provides a unified interface for integrating outputs from various analysis tools and preparing them for effective use by CodeLLMs. Codellm-devkit aims to enable the development and experimentation of robust analysis pipelines that combine traditional program analysis tools and CodeLLMs, reducing friction in multi-language code analysis and ensuring compatibility across different tools and LLM platforms. It is designed to seamlessly integrate with popular analysis tools like WALA, Tree-sitter, LLVM, and CodeQL, acting as a crucial intermediary layer for efficient communication between these tools and CodeLLMs. The project is continuously evolving to include new tools and frameworks, maintaining its versatility for code analysis and LLM integration.

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A software architect for C4 Model generation.

Un aiuto a costruire il Business Model Canvas della tua iniziativa

I create your custom video game graphic assets.

Create voxel art references. Assets, scenes, weapons, general design. Type 'Create + text'. English, Portuguese, Philipines,..., +60 others.

Creates artistic voxel art from photos and concepts.

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Super Prompter is an AI model designed to create high-quality prompts for chatbots. It thinks like a human in crafting prompts, leveraging various methods like the role method, knowledge level method, and emotion method. This AI model has the capability to generate prompts for any given scenario

Leveraging the power of models like VisionaryGeniusAI, GaiaAI, ACALLM, GannAI, and many more, I will generate answers that go beyond standard replies, instead offering a unique blend of insights and perspectives drawn from multiple domains and methodologies.

Generates Environmental impact assessment templates based on specific global locations and parameters.

I provide instant high quality feedback using mental models to expand your mind.

Expert in Marian NMT models and training

是一个专门用于建立数学模型并撰写python代码的gpt.

Expertly Crafting Your GPT From Concept to Masterpiece

GPT teached using a mental models

Technical API model handler for Replicate, using URL-based file inputs. Use any model on replicate.

Professionally finds top custom GPT models for specific topics

GPT Live Directory for storing and retrieving GPT models.

This tool is designed to locate the ideal GPT model tailored to your specific requirements. Simply articulate your needs, and it will diligently work to identify the perfect GPT solution for you.