Best AI tools for< Enhance Data Quality >

Roundtable is an AI-powered fraud prevention network that enhances market research data quality through human-in-the-loop AI technology. It offers invisible, frictionless cybersecurity solutions to secure digital interactions, detect bots and fraud in real-time, and ensure user trust. Roundtable provides seamless security, real-time behavioral AI detection, privacy-preserving design, effortless integration, and explainable results for transparent decision-making.

DQLabs is a modern data quality platform that leverages observability to deliver reliable and accurate data for better business outcomes. It combines the power of Data Quality and Data Observability to enable data producers, consumers, and leaders to achieve decentralized data ownership and turn data into action faster, easier, and more collaboratively. The platform offers features such as data observability, remediation-centric data relevance, decentralized data ownership, enhanced data collaboration, and AI/ML-enabled semantic data discovery.

Dot Group is an AI-powered data advisory and solutions platform that specializes in effective data management. They offer services to help businesses maximize the potential of their data estate, turning complex challenges into profitable opportunities using AI technologies. With a focus on data strategy, data engineering, and data transport, Dot Group provides innovative solutions to drive better profitability for their clients.

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.

Luminarity.ai is a cutting-edge AI application that specializes in Product Data Intelligence. It leverages artificial intelligence to generate intelligence from product descriptive data, such as 3D CAD models, 2D drawings, and specifications. By transforming data into actionable insights, Luminarity empowers businesses to enhance their competitiveness and automate complex decision-making processes. The application offers a new dimension of AI-based data utilization, enabling companies to significantly increase their competitive edge by leveraging their own enterprise data effectively.

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.

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.

VoiceLine is an AI-based field sales revenue intelligence tool that serves as an AI operating system for field sales teams. It allows users to capture touchpoints with their voice, automate admin tasks, and gain actionable insights directly from the field. The tool enhances efficiency, data quality, and employee satisfaction by simplifying data entry processes and providing hands-free operation for salespeople on the go. VoiceLine is designed to integrate seamlessly with existing systems and offers customizable automation features to streamline sales processes.

Boomerang is an AI-powered sales pipeline tool that helps businesses turn happy customers into revenue opportunities by tracking job changes, automating follow-ups, and generating warm intros. It offers features such as contact tracking, account tracking, warm intros, auto org charts, and CRM data quality. Boomerang outperforms competitors in pipeline conversion and job change tracking speed. The tool is designed to boost revenue growth, increase repeat buyers, and enhance customer engagement through personalized interactions.

Macgence is an AI training data services platform that offers high-quality off-the-shelf structured training data for organizations to build effective AI systems at scale. They provide services such as custom data sourcing, data annotation, data validation, content moderation, and localization. Macgence combines global linguistic, cultural, and technological expertise to create high-quality datasets for AI models, enabling faster time-to-market across the entire model value chain. With more than 5 years of experience, they support and scale AI initiatives of leading global innovators by designing custom data collection programs. Macgence specializes in handling AI training data for text, speech, image, and video data, offering cognitive annotation services to unlock the potential of unstructured textual data.

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.

Coginiti is a collaborative analytics platform and tools designed for SQL developers, data scientists, engineers, and analysts. It offers capabilities such as AI assistant, data mesh, database & object store support, powerful query & analysis, and share & reuse curated assets. Coginiti empowers teams and organizations to manage collaborative practices, data efficiency, and deliver trusted data products faster. The platform integrates modular analytic development, collaborative versioned teamwork, and a data quality framework to enhance productivity and ensure data reliability. Coginiti also provides an AI-enabled virtual analytics advisor to boost team efficiency and empower data heroes.

USM Business Systems is a leading AI mobile app development company in the USA and Europe. They offer a wide range of services including workforce management, data quality solutions, cloud migration, HR management, and mobile app development. With a focus on artificial intelligence and machine learning, they help businesses accelerate their digital transformation and boost productivity. USM provides custom AI app development services tailored to each client's unique needs, delivering innovative solutions that enhance market value. They also offer workforce services, AI engineering, and top-notch staff augmentation services. USM is committed to providing quality customer service and helping clients unlock new opportunities through advanced AI technology.

Alignerr is a platform powered by Labelbox that offers subject matter experts the opportunity to align AI models by creating high-quality data in their field of expertise. The platform aims to build the future of Generative AI by enabling experts to contribute to tasks such as coding improvement, data science synthesis, basic math and chemistry comprehension, and creative writing. Alignerr provides a transparent pay structure and allows individuals to work from home on their own schedule, earning up to $150/hr. Contributors can play a pivotal role in shaping the future of artificial intelligence by working on tasks that involve rating or ranking assignments, open rewrite tasks, and multi-modal assignments. The platform emphasizes the responsible development of AI technologies and offers flexibility for professionals to balance work with personal life effortlessly.

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.

Elsevier is an information analytics business that supports researchers and healthcare professionals in advancing science and improving healthcare outcomes. They provide high-quality data and analytics to help researchers, librarians, and research leaders address challenges at every stage of the research journey. Elsevier offers researcher tools, research management solutions, and evaluation services to enhance productivity and research impact.

Nektar is an AI-driven GTM automation platform that offers comprehensive control over customer data synchronization, including contacts, opportunity contact roles, GTM activities, and activity insights. It helps in matching sales processes and security needs efficiently. Trusted by high-performing global revenue teams, Nektar enables users to build more pipeline, win deals faster, and renew and expand customers. The platform leverages AI to transform buyer data at scale, providing visibility into buying groups, meeting quality, and contact roles. Nektar is designed to enhance customer success journeys, drive better renewal outcomes, and improve pipeline inspection using high-quality engagement data.

Sicara is a data and AI expert platform that helps clients define and implement data strategies, build data platforms, develop data science products, and automate production processes with computer vision. They offer services to improve data performance, accelerate data use cases, integrate generative AI, and support ESG transformation. Sicara collaborates with technology partners to provide tailor-made solutions for data and AI challenges. The platform also features a blog, job offers, and a team of experts dedicated to enhancing productivity and quality in data projects.

XLSCOUT is an SOC 2 Type II-compliant, AI super intelligence platform for innovation and IP. It offers a comprehensive solution from instant prior-art searches and AI-assisted ideation to drafting high-quality patents and monetizing innovation. Leveraging Large Language Models (LLMs) and Generative AI, XLSCOUT provides high-quality IP data for patent search and analytics, automates R&D and IP workflows, and helps users stay ahead in the innovation and IP race. The platform ensures top security standards for protecting client data and complies with various industry standards like SOC 2, PCI, ISO, NIST, GDPR, CCPA, HIPAA, and CSA STAR.

LLM Quality Beefer-Upper is an AI tool designed to enhance the quality and productivity of LLM responses by automating critique, reflection, and improvement. Users can generate multi-agent prompt drafts, choose from different quality levels, and upload knowledge text for processing. The application aims to maximize output quality by utilizing the best available LLM models in the market.

DataHub is an open-source data catalog designed for the modern data stack. It provides a platform for managing metadata, enabling users to discover, understand, and collaborate on data assets within their organization. DataHub offers features such as data lineage tracking, data quality monitoring, and integration with various data sources. It is built with contributions from Acryl Data and LinkedIn, aiming to streamline data management processes and enhance data discoverability across different teams and departments.

Merlin is a groundbreaking model capable of generating natural language responses intricately linked with object trajectories of multiple images. It excels in predicting and reasoning about future events based on initial observations, showcasing unprecedented capability in future prediction and reasoning. Merlin achieves state-of-the-art performance on the Future Reasoning Benchmark and multiple existing multimodal language models benchmarks, demonstrating powerful multi-modal general ability and foresight minds.

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. |  |

MathPile is a generative AI tool designed for math, offering a diverse and high-quality math-centric corpus comprising about 9.5 billion tokens. It draws from various sources such as textbooks, arXiv, Wikipedia, ProofWiki, StackExchange, and web pages, catering to different educational levels and math competitions. The corpus is meticulously processed to ensure data quality, with extensive documentation and data contamination detection. MathPile aims to enhance mathematical reasoning abilities of language models.

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.

Akeru.ai is an open-source AI platform leveraging the power of decentralization. It offers transparent, safe, and highly available AI capabilities. The platform aims to give developers access to open-source and transparent AI resources through its decentralized nature hosted on an edge network. Akeru API introduces features like retrieval, function calling, conversation management, custom instructions, data input optimization, user privacy, testing and iteration, and comprehensive documentation. It is ideal for creating AI agents and enhancing web and mobile applications with advanced AI capabilities. The platform runs on a Bittensor Subnet design that aims to democratize AI technology and promote an equitable AI future. Akeru.ai embraces decentralization challenges to ensure a decentralized and equitable AI ecosystem with security features like watermarking and network pings. The API architecture integrates with technologies like Bun, Redis, and Elysia for a robust, scalable solution.

FinAnGPT-Pro is a financial data downloader and AI query system that downloads quarterly and annual financial data for stocks from EOD Historical Data, storing it in MongoDB and Google BigQuery. It includes an AI-powered natural language interface for querying financial data. Users can set up the tool by following the prerequisites and setup instructions provided in the README. The tool allows users to download financial data for all stocks in a watchlist or for a single stock, query financial data using a natural language interface, and receive responses in a structured format. Important considerations include error handling, rate limiting, data validation, BigQuery costs, MongoDB connection, and security measures for API keys and credentials.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

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 llms.txt hub is a centralized repository for llms.txt implementations and resources, facilitating interactions between LLM-powered tools and services with documentation and codebases. It standardizes documentation access, enhances AI model interpretation, improves AI response accuracy, and sets boundaries for AI content interaction across various projects and platforms.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list includes production-ready and experimental servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

SLMs-Survey is a comprehensive repository that includes papers and surveys on small language models. It covers topics such as technology, on-device applications, efficiency, enhancements for LLMs, and trustworthiness. The repository provides a detailed overview of existing SLMs, their architecture, enhancements, and specific applications in various domains. It also includes information on SLM deployment optimization techniques and the synergy between SLMs and LLMs.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

I analyze and integrate missing clusters in data for coherent structuring.

Analyzes PDF text for errors and varied term usage

I check code samples for common mistakes and accuracy

MeepMouse, the advanced computer mouse for developers, displays logs of edits made in a virtual IDE, simulating direct code manipulation.

Enhanced QA/QC expertise with user-driven improvements, powered by OpenAI

Comprehensive analysis of Google API Content Warehouse Leak

Enhanced with biomedical document knowledge for in-depth blood test analysis.

Lilli is a generative AI, designed for rapid data analysis and knowledge extraction to enhance consulting efficiency

Specialized LLM in computer security, acting as a CISO with 20 years of experience, providing precise, data-driven technical responses to enhance organizational security.

designed to assist day traders in making informed and profitable trading decisions. It leverages a combination of real-time data analysis, predictive modeling, and personalized trading recommendations to enhance the trading experience and maximize success.

Enhance your SQL skills with our Multilingual SQL Assistant! Expertise in database design, optimization, and security, available in English, French, Spanish, and Mandarin. Personalized learning for all levels.

Enhance GPT interactions with precise, insightful analysis. Uncover nuanced conversation depths with GPT Insight Analyzer. V.0.41 Start the dialogue—just say 'Hi'.

Assists in identifying and utilizing APIs and files effectively to enhance user-designed GPTs.

Best MATLAB assistant. MATLAB TUTOR is designed to enhance your MATLAB learning experience by offering expert guidance on code, best practices, and programming insights tailored to your skill level.

OptiCode is designed to streamline and enhance your experience with ChatGPT software, tools, and extensions, ensuring efficient problem resolution and optimization of ChatGPT-related workflows.

Enhancing Power BI reports and dashboards with focused feedback.

Memory training and cognitive skill enhancer

By combining the expertise of top resume writers with advanced AI, we assist in diagnosing and enhancing your resume | ATS Compatible | More awesome features coming soon!

Expert in Google Gemini, integrating report and web data for comprehensive explanations.