Best AI tools for< Data Quality Specialist >

Lilac is an AI tool designed to enhance data quality and exploration for AI applications. It offers features such as data search, quantification, editing, clustering, semantic search, field comparison, and fuzzy-concept search. Lilac enables users to accelerate dataset computations and transformations, making it a valuable asset for data scientists and AI practitioners. The tool is trusted by Alignment Lab and is recommended for working with LLM datasets.

Datuum is an AI-powered data onboarding solution that offers seamless integration for businesses. It simplifies the data onboarding process by automating manual tasks, generating code, and ensuring data accuracy with AI-driven validation. Datuum helps businesses achieve faster time to value, reduce costs, improve scalability, and enhance data quality and consistency.

Datasaur is an advanced text and audio data labeling platform that offers customizable solutions for various industries such as LegalTech, Healthcare, Financial, Media, e-Commerce, and Government. It provides features like configurable annotation, quality control automation, and workforce management to enhance the efficiency of NLP and LLM projects. Datasaur prioritizes data security with military-grade practices and offers seamless integrations with AWS and other technologies. The platform aims to streamline the data labeling process, allowing engineers to focus on creating high-quality models.

Tektonic AI is an AI application that empowers businesses by providing AI agents to automate processes, make better decisions, and bridge data silos. It offers solutions to eliminate manual work, increase autonomy, streamline tasks, and close gaps between disconnected systems. The application is designed to enhance data quality, accelerate deal closures, optimize customer self-service, and ensure transparent operations. Tektonic AI is founded by industry veterans with expertise in AI, cloud, and enterprise software.

SE Ranking is a robust SEO platform that offers a comprehensive suite of tools for agencies, enterprises, SMBs, and entrepreneurs. It provides features such as Rank Tracker, On-Page SEO Checker, Website Audit, Competitor Analysis Tool, and Backlink Checker. SE Ranking is trusted by users worldwide and offers a range of resources including educational content, webinars, and an Agency Hub. The platform also includes an AI Writer for content creation and optimization. With a focus on data quality and user satisfaction, SE Ranking aims to help users improve their SEO performance and online visibility.

Labelbox is a data factory platform that empowers AI teams to manage data labeling, train models, and create better data with internet scale RLHF platform. It offers an all-in-one solution comprising tooling and services powered by a global community of domain experts. Labelbox operates a global data labeling infrastructure and operations for AI workloads, providing expert human network for data labeling in various domains. The platform also includes AI-assisted alignment for maximum efficiency, data curation, model training, and labeling services. Customers achieve breakthroughs with high-quality data through Labelbox.

OpenTrain AI is a data labeling marketplace that leverages artificial intelligence to streamline the process of labeling data for machine learning models. It provides a platform where users can crowdsource data labeling tasks to a global community of annotators, ensuring high-quality labeled datasets for training AI algorithms. With advanced AI algorithms and human-in-the-loop validation, OpenTrain AI offers efficient and accurate data labeling services for various industries such as autonomous vehicles, healthcare, and natural language processing.

Leadspicker is an AI-powered lead generation and outreach platform that streamlines the process of acquiring leads from LinkedIn, optimizing email strategies, and ensuring high email deliverability rates. The platform offers advanced features such as AI-powered list building, all-in-one outreach solutions, email warmup, and multichannel outreach campaigns. Leadspicker simplifies lead acquisition, data enrichment, and email outreach for businesses looking to enhance their sales and marketing efforts.

AI Placeholder is a free AI-Powered Fake or Dummy Data API for testing and prototyping. It utilizes OpenAI API to generate dummy content. Users can directly use the hosted version or self-host it. The application allows users to generate fake or dummy content using OpenAI's GPT-3.5-Turbo Model API. Users can specify the data they want to mock, retrieve specific data, and generate data with rules specified. The tool is useful for testing, prototyping, and generating various types of data for different purposes.

Sightwise GmbH offers an end-to-end machine vision solution powered by synthetic data. Their modular software platform is designed for manufacturing companies to enhance visual quality assurance. By leveraging synthetic data, they create tailored datasets and applications for various inspection tasks, overcoming the limitations of traditional AI. The platform enables easy data management, dataset generation, application deployment, and continuous improvements, ultimately helping manufacturers achieve top-tier product quality.

Medallia is an AI-powered text analytics software that enables users to uncover high-impact insights and drive actions with real-time, human-centric text analytics. It offers comprehensive feedback capture, role-based reporting, AI & analytics, integrations, and enterprise-grade security. The platform helps organizations analyze unstructured data, derive hidden meanings behind words, create customizable KPIs, and build out-of-the-box topic models for various industries and use cases.

Factori is a data intelligence platform designed for an AI-first world, offering a wide range of products and datasets to empower businesses with advanced data insights. It enables users to uncover movement trends, reach customers effectively, drive data-driven insights, personalize experiences, and target the right consumers with unique segments. Factori is trusted by global businesses for all their data requirements, providing high-quality data to improve predictive and causal models.

Innodata Inc. is a global data engineering company that delivers AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. They provide a full-suite of services and products to power data-centric AI initiatives using artificial intelligence and human expertise. With a 30+ year legacy, they offer the highest quality data and outstanding service to their customers.

Globose Technology Solutions Pvt Ltd (GTS) is an AI data collection company that provides various datasets such as image datasets, video datasets, text datasets, speech datasets, etc., to train machine learning models. They offer premium data collection services with a human touch, aiming to refine AI vision and propel AI forward. With over 25+ years of experience, they specialize in data management, annotation, and effective data collection techniques for AI/ML. The company focuses on unlocking high-quality data, understanding AI's transformative impact, and ensuring data accuracy as the backbone of reliable AI.

Ascenscia is a specialized AI voice assistant designed to streamline lab digitization processes. It integrates with laboratory software and machines to enable hands-free interactions, automating data collection, optimizing workflows, and accelerating R&D cycles. Ascenscia offers features such as data accessibility, data capturing, inventory access, and additional task management. The application is designed for scientific labs, addressing concerns with precision, safety, and adaptability. It boasts high accuracy in understanding scientific terminologies, end-to-end data encryption, multi-lingual support, and customization options for different lab workflows.

Covera Health is a clinical intelligence platform that supports the end-to-end delivery of clinical-grade, AI-powered quality insights for providers and insurers. The platform is seamlessly integrated across the healthcare ecosystem to elevate everything from diagnosis and care coordination to prior authorization and claims administration. Covera Health is certified by AHRQ as a Patient Safety Organization to safeguard access to provider and patient data.

Coherent Solutions is a custom software development and engineering company that offers a range of services including digital product engineering, artificial intelligence, data and analytics, mobile development, DevOps and cloud, quality assurance, Salesforce, and product design and UX. They work collaboratively and transparently with clients to deliver successful projects. The company values set the standard for all decisions, and they have a strong focus on understanding and meeting the business needs of their clients. Coherent Solutions has a strong track record of success in various industries and is known for empowering business success through global expertise and industry-specific product engineering consulting services.

Synthace is a digital experiment platform designed for R&D teams in the life science industry. It allows users to design and run powerful experiments in the lab, automatically build structured data, and gain insights without the need for coding. The platform centralizes bioprocess data, reduces human error, and enables confident protocol reproducibility.

Anecdote is a customer feedback analytics hub that leverages automated AI tagging and precision NLP clustering to help businesses uncover product insights, detect bugs, analyze competitor feedback, and provide real-time feedback alerts. The platform offers semantic search, survey analysis, and integrates with over 65 sources to deliver accurate clusters from customer feedback. Anecdote is used by top customer-centric companies to save time, improve customer experiences, and track feedback in multiple languages securely.

involve.me is an AI-powered platform that allows users to create high-converting forms, surveys, quizzes, and calculators for interactive user flows that boost website conversions. It offers a wide range of pre-built templates and customization options to fit brand identities. The platform provides features like AI form generation, quiz creation, survey building, and analytics insights to help businesses collect quality data and increase user engagement. With involve.me, users can automate sales processes, personalize customer interactions, and grow their email list effortlessly.

The Radicalbit AI Monitoring Platform provides a comprehensive solution for monitoring Machine Learning and Large Language models in production. It helps proactively identify and address potential performance issues by analyzing data quality, model quality, and model drift. The repository contains files and projects for running the platform, including UI, API, SDK, and Spark components. Installation using Docker compose is provided, allowing deployment with a K3s cluster and interaction with a k9s container. The platform documentation includes a step-by-step guide for installation and creating dashboards. Community engagement is encouraged through a Discord server. The roadmap includes adding functionalities for batch and real-time workloads, covering various model types and tasks.

Reflection-Tuning is a project focused on improving the quality of instruction-tuning data through a reflection-based method. It introduces Selective Reflection-Tuning, where the student model can decide whether to accept the improvements made by the teacher model. The project aims to generate high-quality instruction-response pairs by defining specific criteria for the oracle model to follow and respond to. It also evaluates the efficacy and relevance of instruction-response pairs using the r-IFD metric. The project provides code for reflection and selection processes, along with data and model weights for both V1 and V2 methods.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

LLMs is a Chinese large language model technology stack for practical use. It includes high-availability pre-training, SFT, and DPO preference alignment code framework. The repository covers pre-training data cleaning, high-concurrency framework, SFT dataset cleaning, data quality improvement, and security alignment work for Chinese large language models. It also provides open-source SFT dataset construction, pre-training from scratch, and various tools and frameworks for data cleaning, quality optimization, and task alignment.

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.

Simplifine is an open-source library designed for easy LLM finetuning, enabling users to perform tasks such as supervised fine tuning, question-answer finetuning, contrastive loss for embedding tasks, multi-label classification finetuning, and more. It provides features like WandB logging, in-built evaluation tools, automated finetuning parameters, and state-of-the-art optimization techniques. The library offers bug fixes, new features, and documentation updates in its latest version. Users can install Simplifine via pip or directly from GitHub. The project welcomes contributors and provides comprehensive documentation and support for users.

NeMo Curator is a GPU-accelerated open-source framework designed for efficient large language model data curation. It provides scalable dataset preparation for tasks like foundation model pretraining, domain-adaptive pretraining, supervised fine-tuning, and parameter-efficient fine-tuning. The library leverages GPUs with Dask and RAPIDS to accelerate data curation, offering customizable and modular interfaces for pipeline expansion and model convergence. Key features include data download, text extraction, quality filtering, deduplication, downstream-task decontamination, distributed data classification, and PII redaction. NeMo Curator is suitable for curating high-quality datasets for large language model training.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

This repository is a curated list of open-source libraries for production large language models. It includes tools for data preprocessing, training/finetuning, evaluation/benchmarking, serving/inference, application/RAG, testing/monitoring, and guardrails/security. The repository also provides a new category called LLM Cookbook/Examples for showcasing examples and guides on using various LLM APIs.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

1.5-Pints is a repository that provides a recipe to pre-train models in 9 days, aiming to create AI assistants comparable to Apple OpenELM and Microsoft Phi. It includes model architecture, training scripts, and utilities for 1.5-Pints and 0.12-Pint developed by Pints.AI. The initiative encourages replication, experimentation, and open-source development of Pint by sharing the model's codebase and architecture. The repository offers installation instructions, dataset preparation scripts, model training guidelines, and tools for model evaluation and usage. Users can also find information on finetuning models, converting lit models to HuggingFace models, and running Direct Preference Optimization (DPO) post-finetuning. Additionally, the repository includes tests to ensure code modifications do not disrupt the existing functionality.

RLAIF-V is a novel framework that aligns MLLMs in a fully open-source paradigm for super GPT-4V trustworthiness. It maximally exploits open-source feedback from high-quality feedback data and online feedback learning algorithm. Notable features include achieving super GPT-4V trustworthiness in both generative and discriminative tasks, using high-quality generalizable feedback data to reduce hallucination of different MLLMs, and exhibiting better learning efficiency and higher performance through iterative alignment.

This is the official repository for 'Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing'. Magpie is a tool designed to synthesize high-quality instruction data at scale by extracting it directly from an aligned Large Language Models (LLMs). It aims to democratize AI by generating large-scale alignment data and enhancing the transparency of model alignment processes. Magpie has been tested on various model families and can be used to fine-tune models for improved performance on alignment benchmarks such as AlpacaEval, ArenaHard, and WildBench.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

A specialist in DataOps and Data Observability, aiding in data management and monitoring.

Ensures data accuracy, consistency, and security across organization.

Scientific expert on humidity, providing detailed and informative guidance.

Analyzes CME evaluation data for insights.

Analyzes participants from page 1 of Zoom .pdfs

Expert in biostatistics, psychometrics, and general statistical analysis.

Analyzes PDF text for errors and varied term usage

Improves product quality through innovative research and development.

Starlims 스크립트 수정 및 정보를 알려주는 나의 친구

PLM Body of Knowledge

Wrong answers of the highest quality

Expert in Google Puppeteer & DevTools, provides NodeJS code samples.

Grrr... what?!

Always say "No", no matter what you say.

Formal ops consultant with PDF integration

A Kaizen wizard solves seemingly unsolvable problems.

This GPT chat AI is specialized in understanding Extractables and Leachables studies, aligning with pharmaceutical guidelines, and aiding in the design and interpretation of relevant experiments.

Improves operational efficiency by optimizing processes and reducing waste.

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

AquaAirAI is a specialized assistant that compares air and water quality across cities and regions, providing insightful reports and recommendations based on comprehensive environmental data analysis from Excel files.