Best AI tools for< Validate Model Performance >

Bifrost AI is a data generation engine designed for AI and robotics applications. It enables users to train and validate AI models faster by generating physically accurate synthetic datasets in 3D simulations, eliminating the need for real-world data. The platform offers pixel-perfect labels, scenario metadata, and a simulated 3D world to enhance AI understanding. Bifrost AI empowers users to create new scenarios and datasets rapidly, stress test AI perception, and improve model performance. It is built for teams at every stage of AI development, offering features like automated labeling, class imbalance correction, and performance enhancement.

Plumb is a no-code, node-based builder that empowers product, design, and engineering teams to create AI features together. It enables users to build, test, and deploy AI features with confidence, fostering collaboration across different disciplines. With Plumb, teams can ship prototypes directly to production, ensuring that the best prompts from the playground are the exact versions that go to production. It goes beyond automation, allowing users to build complex multi-tenant pipelines, transform data, and leverage validated JSON schema to create reliable, high-quality AI features that deliver real value to users. Plumb also makes it easy to compare prompt and model performance, enabling users to spot degradations, debug them, and ship fixes quickly. It is designed for SaaS teams, helping ambitious product teams collaborate to deliver state-of-the-art AI-powered experiences to their users at scale.

DeepOpinion is a Generative Automation platform designed for enterprises to automate various business processes using cutting-edge AI technology. It combines business process digitization, low/no-code development, and Generative AI to create powerful enterprise-grade automations in minutes. Trusted by enterprises large and small, DeepOpinion offers solutions for industries such as financial services, insurance, and manufacturing, with a focus on automating tasks like trade financing, consumer loan processing, and customer support. The platform also provides AI models, case studies, and testimonials to showcase its effectiveness in streamlining operations and improving efficiency.

Tonic.ai is a platform that allows users to build AI models on their unstructured data. It offers various products for software development and LLM development, including tools for de-identifying and subsetting structured data, scaling down data, handling semi-structured data, and managing ephemeral data environments. Tonic.ai focuses on standardizing, enriching, and protecting unstructured data, as well as validating RAG systems. The platform also provides integrations with relational databases, data lakes, NoSQL databases, flat files, and SaaS applications, ensuring secure data transformation for software and AI developers.

The AI Lean Canvas Generator is an AI-powered tool designed to help businesses create Lean Canvases quickly and efficiently. It uses artificial intelligence to analyze company descriptions and generate Lean Canvases that summarize key aspects of a business model. The tool aims to streamline the process of creating and validating business models, following the Lean Startup methodology to reduce risk and uncertainty in the early stages of a business. It provides a user-friendly interface for users to input their company information and receive a comprehensive Lean Canvas that includes target market, value proposition, revenue streams, cost structure, and key metrics.

Hotball.ai is an AI-powered platform designed to help startup founders validate their business ideas, create step-by-step plans, and improve their pitch for investors. The platform offers data-driven suggestions, proven business frameworks, and expert knowledge from experienced C-level executives to assist founders in identifying blind spots, gaps in their business plans, and making informed decisions. Hotball.ai aims to eliminate generic responses from investors, increase the chances of funding, and pre-validate business models to prevent failures due to market need or flawed strategies.

Fe/male Switch is a women-first startup game that offers a browser-based startup simulator experience. Players can assemble a team, create a startup with an investor and mentor, gain startup experience, win prizes, and get funded. The game aims to help individuals build their first startup, validate ideas, and overcome startup challenges. It provides a platform for aspiring entrepreneurs to test their entrepreneurial potential and learn essential business skills in a risk-free environment. Fe/male Switch features a unique Gamepreneurship methodology, AI co-founder support, and educational resources to guide players through the startup building process.

Idea Validator is an AI-powered tool that helps entrepreneurs validate their business ideas instantly. It provides detailed reports on business viability, target audience, ideal team, business model, and more, all within minutes. Trusted by over 1750 entrepreneurs, Idea Validator offers a rapid turnaround time, affordability, and comprehensive insights to kick-start and grow business ideas. The tool covers all aspects of starting a business, ensuring users don't miss any critical components. With features like real-time web search integration, personalized reports, and expert business advisors, Idea Validator is a valuable resource for idea validation and development.

Lalaland.ai is an AI-powered digital model studio for digital designers. It allows users to create realistic 3D models of people to showcase their designs. The platform integrates with Browzwear VStitcher, enabling users to style their designs on lifelike models and validate their garments early on in the design process. Lalaland.ai aims to make the fashion industry more sustainable by reducing the need for physical samples and photoshoots.

Cradl AI is a no-code AI-powered document workflow automation tool that helps organizations automate document-related tasks, such as data extraction, processing, and validation. It uses AI to automatically extract data from complex document layouts, regardless of layout or language. Cradl AI also integrates with other no-code tools, making it easy to build and deploy custom AI models.

Cradl AI is an AI-powered tool designed to automate document workflows with no-code AI. It enables users to extract data from any document automatically, integrate with no-code tools, and build custom AI models through an easy-to-use interface. The tool empowers automation teams across industries by extracting data from complex document layouts, regardless of language or structure. Cradl AI offers features such as line item extraction, fine-tuning AI models, human-in-the-loop validation, and seamless integration with automation tools. It is trusted by organizations for business-critical document automation, providing enterprise-level features like encrypted transmission, GDPR compliance, secure data handling, and auto-scaling.

IdeaBuddy is an innovative business planning software powered by AI that helps entrepreneurs, startups, and business organizations turn their great ideas into successful ventures. With IdeaBuddy, you can develop, test, and launch your business idea, all in one place. Whether you are starting from scratch, looking for funding, or wanting to expand, IdeaBuddy meets you where you're at.

Fine-Tune AI is a tool that allows users to generate fine-tune data sets using prompts. This can be useful for a variety of tasks, such as improving the accuracy of machine learning models or creating new training data for AI applications.

Business Generator is a tool that helps entrepreneurs and business owners generate ideas for new businesses. It provides a step-by-step process to help users define their target market, revenue model, technology stack, industry, investment level, competition, experience level, environmental impact, regulatory requirements, and response language. The tool then generates a list of potential business ideas based on the user's input.

Rgx.tools is an AI-powered text-to-regex generator that helps users create regular expressions quickly and easily. It is a wrapper around OpenAI's gpt-3.5-chat model, which generates clean, readable, and efficient regular expressions based on user input. Rgx.tools is designed to make the process of writing regular expressions less painful and more accessible, even for those with limited experience.

Enzai is an AI governance platform designed to help businesses navigate and comply with AI regulations and standards. It offers solutions for model risk management, generative AI, and EU AI Act compliance. Enzai provides assessments, policies, AI registry, and governance overview features to ensure AI systems' compliance and efficiency. The platform is easy to set up, efficient to use, and supported by leading AI experts. Enzai aims to be a one-stop-shop for AI governance needs, offering tailored solutions for various use cases and industries.

Re-View is an AI-powered platform that enables users to conduct surveys that capture more than words by utilizing user-friendly video survey forms. The platform allows users to understand emotions, uncover insights, and collect more and better data through authentic emotional connections. With features like automatic insights, efficient research at scale, stunning simplicity, and powerful research capabilities, Re-View offers a practical pricing model that makes research accessible to all. Users can easily create surveys, analyze responses with AI assistance, and gain valuable research reports to support decision-making.

Strat.Chat is an AI-based business strategy tool that assists business owners, potential founders, and entrepreneurs in evaluating business ideas, developing implementation plans, and providing comprehensive market data. Users can describe their business idea or existing model, and the tool uses artificial intelligence to analyze it in five steps: idea assessment, industry structure analysis, macroeconomic perspective, implementation plan, and market data. The tool offers customizable recommendations and the option for a 'Deep Dive' to delve into more detailed insights.

Genaios is an AI-powered web application and Chrome plugin that helps users detect and verify the authenticity of online information, particularly in distinguishing between real content and AI-generated texts. With the power of AI, Genaios enables users to fact-check documents, validate sources, and identify AI-generated texts in multiple languages. The application aims to combat fake news and information overload on the internet, providing a reliable solution for users to trust the media again.

IBM Watsonx is an enterprise studio for AI builders. It provides a platform to train, validate, tune, and deploy AI models quickly and efficiently. With Watsonx, users can access a library of pre-trained AI models, build their own models, and deploy them to the cloud or on-premises. Watsonx also offers a range of tools and services to help users manage and monitor their AI models.

Seismometer is a suite of tools designed to evaluate AI model performance in healthcare settings. It helps healthcare organizations assess the accuracy of AI models and ensure equitable care for diverse patient populations. The tool allows users to validate model performance using standardized evaluation criteria based on local data and workflows. It includes templates for analyzing statistical performance, fairness across different cohorts, and the impact of interventions on outcomes. Seismometer is continuously evolving to incorporate new validation and analysis techniques.

ICE-Score is a tool designed to instruct large language models to evaluate code. It provides a minimum viable product (MVP) for evaluating generated code snippets using inputs such as problem, output, task, aspect, and model. Users can also evaluate with reference code and enable zero-shot chain-of-thought evaluation. The tool is built on codegen-metrics and code-bert-score repositories and includes datasets like CoNaLa and HumanEval. ICE-Score has been accepted to EACL 2024.

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

ST-LLM is a temporal-sensitive video large language model that incorporates joint spatial-temporal modeling, dynamic masking strategy, and global-local input module for effective video understanding. It has achieved state-of-the-art results on various video benchmarks. The repository provides code and weights for the model, along with demo scripts for easy usage. Users can train, validate, and use the model for tasks like video description, action identification, and reasoning.

moai is a PyTorch-based AI Model Development Kit (MDK) designed to improve data-driven model workflows, design, and understanding. It offers modularity via monads for model building blocks, reproducibility via configuration-based design, productivity via a data-driven domain modelling language (DML), extensibility via plugins, and understanding via inter-model performance and design aggregation. The tool provides specific integrated actions like play, train, evaluate, plot, diff, and reprod to support heavy data-driven workflows with analytics, knowledge extraction, and reproduction. moai relies on PyTorch, Lightning, Hydra, TorchServe, ONNX, Visdom, HiPlot, Kornia, Albumentations, and the wider open-source community for its functionalities.

gollm is a Go package designed to simplify interactions with Large Language Models (LLMs) for AI engineers and developers. It offers a unified API for multiple LLM providers, easy provider and model switching, flexible configuration options, advanced prompt engineering, prompt optimization, memory retention, structured output and validation, provider comparison tools, high-level AI functions, robust error handling and retries, and extensible architecture. The package enables users to create AI-powered golems for tasks like content creation workflows, complex reasoning tasks, structured data generation, model performance analysis, prompt optimization, and creating a mixture of agents.

Labelbox is a data-centric AI platform for enterprises to develop, optimize, and use AI to solve problems and power new products and services. Enterprises use Labelbox to curate data, generate high-quality human feedback data for computer vision and LLMs, evaluate model performance, and automate tasks by combining AI and human-centric workflows. The academic & research community uses Labelbox for cutting-edge AI research.

LitServe is a high-throughput serving engine for deploying AI models at scale. It generates an API endpoint for a model, handles batching, streaming, autoscaling across CPU/GPUs, and more. Built for enterprise scale, it supports every framework like PyTorch, JAX, Tensorflow, and more. LitServe is designed to let users focus on model performance, not the serving boilerplate. It is like PyTorch Lightning for model serving but with broader framework support and scalability.

KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.

Intel® Neural Compressor is an open-source Python library that supports popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks such as TensorFlow, PyTorch, ONNX Runtime, and MXNet. It provides key features, typical examples, and open collaborations, including support for a wide range of Intel hardware, validation of popular LLMs, and collaboration with cloud marketplaces, software platforms, and open AI ecosystems.

llm-export is a tool for exporting llm models to onnx and mnn formats. It has features such as passing onnxruntime correctness tests, optimizing the original code to support dynamic shapes, reducing constant parts, optimizing onnx models using OnnxSlim for performance improvement, and exporting lora weights to onnx and mnn formats. Users can clone the project locally, clone the desired LLM project locally, and use LLMExporter to export the model. The tool supports various export options like exporting the entire model as one onnx model, exporting model segments as multiple models, exporting model vocabulary to a text file, exporting specific model layers like Embedding and lm_head, testing the model with queries, validating onnx model consistency with onnxruntime, converting onnx models to mnn models, and more. Users can specify export paths, skip optimization steps, and merge lora weights before exporting.

Embodied Agents is a toolkit for integrating large multi-modal models into existing robot stacks with just a few lines of code. It provides consistency, reliability, scalability, and is configurable to any observation and action space. The toolkit is designed to reduce complexities involved in setting up inference endpoints, converting between different model formats, and collecting/storing datasets. It aims to facilitate data collection and sharing among roboticists by providing Python-first abstractions that are modular, extensible, and applicable to a wide range of tasks. The toolkit supports asynchronous and remote thread-safe agent execution for maximal responsiveness and scalability, and is compatible with various APIs like HuggingFace Spaces, Datasets, Gymnasium Spaces, Ollama, and OpenAI. It also offers automatic dataset recording and optional uploads to the HuggingFace hub.

Un aiuto a costruire il Business Model Canvas della tua iniziativa

Consultor experto en Business Model Canvas para emprendedores

Assists with ROMS and COAWST modeling in Linux environments.

Refine your startup strategy with Startup Business Validator: Dive into SWOT, Business Model Canvas, PESTEL, and more for comprehensive insights. Got just an idea? We'll craft the details for you.

A blunt yet friendly guide for startup idea validation.

A serial entrepreneur consultant inspired by 'Lean Startup' principles.

Expert in teaching Pydantic with clear, accessible explanations.

A dual-expert in Pydantic V1 and V2, adept at online research for V2.

Helps with course design and explains assessment methods.

I validate and post messages to a secret wall, maintaining its security.

I assist in idea validation with a curious and analytical approach against Biases , using visuals for clarity.

Validador de ideas ganadoras para videos de YouTube

A GPT-powered assistant specializing in data validation and quality checks for various datasets.

Friendly JSON, HTML, XML validator with detailed advice.

A specialist in crafting and explaining regex patterns.

Expert in OpenAPI 3.1.0 and JSON Schema

SQL query validator and educator, adaptable to user's format.

This GPT lets you build PCRE Regular Expressions (for use the RegExp constructor).

根据用户需求生成正则表达式。

Assists in creating and validating OpenAPI specifications.