Best AI tools for< Improve Data Collection >

Maintain-AI is an automated pavement assessment tool that utilizes Artificial Intelligence to help optimize road and related network assessments. The tool aims to improve the management of infrastructure assets such as roads and bridges by providing industry-leading automated road survey solutions. Through the use of computer vision and machine learning models, Maintain-AI detects various defect types, severity of distresses, and other associated infrastructure elements from collected road network images. The tool enables road asset professionals to make informed decisions based on objective data, leading to more efficient and cost-effective pavement management.

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.

Mazaal AI is an end-to-end no-code AI platform that empowers businesses to boost their workforce with AI automation. The platform allows users to transform data into powerful AI solutions without the need for coding. With a focus on pre-trained models and seamless integration, Mazaal AI helps businesses optimize production, manage inventory effectively, predict future demand accurately, and enhance customer satisfaction.

The AI Checklist Generator is a tool that helps you quickly and easily create checklists for your AI projects. With this tool, you can generate checklists for a variety of AI tasks, including data collection, model training, and deployment. The AI Checklist Generator is a valuable tool for anyone who wants to ensure that their AI projects are successful.

FuseBase (Formerly Nimbus) is an online collaboration tool designed for businesses to enhance team collaboration and streamline project management. The platform offers features such as client collaboration, project management, knowledge management, data collection, and white-label solutions. FuseBase also integrates AI technology to provide users with an AI assistant for CRM, sales, marketing, and step-by-step guides. The application aims to improve client interactions, project efficiency, and overall business productivity by offering a centralized workspace for seamless collaboration and communication.

Paradox is an AI-powered recruiting platform that aims to revolutionize the recruitment process through the use of artificial intelligence. The platform streamlines the recruiting process to enhance candidate and recruiter experiences, creating better connections between job seekers and companies. Paradox values innovation, client success, and creating magical moments through assistive intelligence. The platform offers various solutions for talent acquisition, including Conversational ATS, Career Sites, CX, Capture, Scheduling, and Events. With a focus on simplicity and continuous improvement, Paradox is dedicated to changing the world of recruiting one company and one job seeker at a time.

Heatseeker is an AI-powered market experimentation tool that helps businesses predict customer preferences, conduct feature tests, and generate value propositions. It enables users to answer critical growth questions about market, audience, and product features through AI-powered experiments. Heatseeker provides insights into market trends, competitor analysis, and helps in making data-driven decisions. The platform offers curated recommendations, competitive intelligence, and continuous testing for refining strategies. It automates ad campaign generation, data collection, and provides recommendations for launching new products. Heatseeker is designed to help businesses optimize their marketing efforts and improve their product offerings.

Sturdy is an AI application designed for B2B businesses to drive insights and actions that improve business performance and revenue retention. It provides product insights, sentiment trends, account-based summaries, and custom signals. Sturdy offers automations, AI readiness assessment, and turnkey deployment for customer intelligence. The application ensures privacy, security, and compliance-first mindset in data integration and collection. Sturdy converts unstructured customer interactions into actionable data for decision-making and forecasting.

Canoe is a cloud-based platform that leverages machine learning technology to automate document collection, data extraction, and data science initiatives for alternative investments. It transforms complex documents into actionable intelligence within seconds, empowering allocators with tools to unlock new efficiencies for their business. Canoe is trusted by thousands of alternative investors, allocators, wealth management, and asset servicers to improve efficiency, accuracy, and completeness of investment data.

TrueAccord is an industry-leading recovery and collections platform powered by machine learning and a consumer-friendly digital experience. It offers third-party collection services for better relationships and faster recoveries through engagement, commitment, and resolution. TrueAccord's platform can handle delinquency needs from one day past due through charge off, with features like HeartBeat for better results, self-serve digital experience for consumers, scalability in delinquency infrastructure, and end-to-end personalization. The platform is trusted by market leaders and loved by consumers, providing a full-service digital-first debt collection agency.

LoomFlows is a user feedback collection tool that allows businesses to collect high-quality feedback from their users through Loom screen recordings and annotated screenshots. It helps businesses streamline feedback collection, identify impactful opportunities, and scale faster by building the right features.

MyMemo is an AI-powered knowledge management tool that helps users organize, analyze, and retrieve their digital knowledge. It uses natural language processing and machine learning to understand the content of users' uploads, extract key insights, and generate summaries. MyMemo also allows users to create collections of memos, ask questions to the AI, and collaborate with others. It is designed to help users save time, improve their productivity, and make better use of their knowledge.

AIAI.Tools is a comprehensive directory of AI-powered tools and applications designed to enhance various aspects of work and productivity. The platform features a wide range of AI tools spanning different categories such as SEO, productivity, research, automation, and development. Users can explore and discover innovative AI solutions that leverage cutting-edge technologies like reinforcement learning algorithms, ChatGPT AI technology, and video search capabilities. AIAI.Tools aims to simplify tasks, improve efficiency, and streamline workflows by providing access to advanced AI tools that cater to diverse needs across industries.

Wizu is an AI-powered conversational survey platform that revolutionizes customer feedback collection. By leveraging artificial intelligence, Wizu offers insightful and actionable feedback through intelligent follow-up questions, enhanced engagement, and quality insights. The platform combines AI efficiency with human-centric interactions to provide personalized feedback at scale. With features like AI-driven surveys, intelligent follow-up questions, and data stories, Wizu helps businesses make informed decisions and improve customer experience management.

coeo is a technology-based debt collection company that utilizes cutting-edge AI processes and behavioral research insights to harmonize customer relationships. They offer tailored debt collection solutions with a focus on customer satisfaction and efficiency. With an international presence in seven European countries, coeo combines the capacity and competence of a large corporation with the flexibility of a medium-sized company and the spirit of a fintech start-up. Their success is driven by a robust tech stack, extensive data pool, and continuous performance management.

SecAI Tap4 AI Tools Directory is a comprehensive platform that offers a curated collection of AI tools for various applications. Users can explore a wide range of tools designed to enhance productivity, streamline processes, and drive innovation across industries. The platform provides detailed information about each tool, including features, pricing, and user reviews, to help users make informed decisions when selecting the right AI tool for their specific needs.

AI TOOL TREK is the ultimate AI tools directory and product showcase in 2024, offering a platform to explore over 3500 AI websites and tools. It provides a comprehensive collection of AI resources for users to discover and utilize in various domains. The platform is designed to empower users with cutting-edge AI technologies and solutions to enhance their productivity and efficiency across different tasks and industries.

OpenTools is a comprehensive directory of AI tools and applications that cater to a wide range of categories such as image improvement, productivity, marketing, gaming, social media, and more. With a vast collection of AI-powered tools, OpenTools aims to provide users with innovative solutions to enhance various aspects of their personal and professional lives. The platform also offers a daily newsletter on AI to keep subscribers informed about the latest trends and developments in the field.

Cresta AI is an enterprise-grade Gen AI platform designed for the contact center, offering a suite of intelligent products that analyze conversations, provide real-time guidance to agents, and drive transformative results for Fortune 500 companies. The platform leverages generative AI to deliver targeted automation, personalized coaching, and AI-native management solutions, all trained on the user's data. Cresta's no-code command center empowers non-technical leaders to deploy AI models effortlessly, ensuring businesses can adapt and evolve seamlessly. With a focus on enhancing sales, customer care, retention, and collections processes, Cresta aims to revolutionize contact center operations with cutting-edge AI technology.

The website is a comprehensive platform that showcases a wide range of AI tools and applications designed to enhance productivity, creativity, and efficiency across various domains. From AI-powered document editors to personalized language learning platforms, the site offers a diverse collection of tools that leverage artificial intelligence to streamline tasks and improve user experiences. Users can explore cutting-edge solutions for content creation, data analysis, image editing, language correction, and more, all powered by advanced AI algorithms and technologies.

Sparrow is an innovative open-source solution for efficient data extraction and processing from various documents and images. It seamlessly handles forms, invoices, receipts, and other unstructured data sources. Sparrow stands out with its modular architecture, offering independent services and pipelines all optimized for robust performance. One of the critical functionalities of Sparrow - pluggable architecture. You can easily integrate and run data extraction pipelines using tools and frameworks like LlamaIndex, Haystack, or Unstructured. Sparrow enables local LLM data extraction pipelines through Ollama or Apple MLX. With Sparrow solution you get API, which helps to process and transform your data into structured output, ready to be integrated with custom workflows. Sparrow Agents - with Sparrow you can build independent LLM agents, and use API to invoke them from your system. **List of available agents:** * **llamaindex** - RAG pipeline with LlamaIndex for PDF processing * **vllamaindex** - RAG pipeline with LLamaIndex multimodal for image processing * **vprocessor** - RAG pipeline with OCR and LlamaIndex for image processing * **haystack** - RAG pipeline with Haystack for PDF processing * **fcall** - Function call pipeline * **unstructured-light** - RAG pipeline with Unstructured and LangChain, supports PDF and image processing * **unstructured** - RAG pipeline with Weaviate vector DB query, Unstructured and LangChain, supports PDF and image processing * **instructor** - RAG pipeline with Unstructured and Instructor libraries, supports PDF and image processing. Works great for JSON response generation

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.

Quack Companion is a VSCode extension that provides smart linting, code chat, and coding guideline curation for developers. It aims to enhance the coding experience by offering a new tab with features like curating software insights with the team, code chat similar to ChatGPT, smart linting, and upcoming code completion. The extension focuses on creating a smooth contribution experience for developers by turning contribution guidelines into a live pair coding experience, helping developers find starter contribution opportunities, and ensuring alignment between contribution goals and project priorities. Quack collects limited telemetry data to improve its services and products for developers, with options for anonymization and disabling telemetry available to users.

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.

Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency. It helps users improve AI output quality through data quality, take control of their data and models, and improve efficiency by quickly iterating on the right data and models. Argilla is an open-source community-driven project that provides tools for achieving and maintaining high-quality data standards, with a focus on NLP and LLMs. It is used by AI teams from companies like the Red Cross, Loris.ai, and Prolific to improve the quality and efficiency of AI projects.

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

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

LLM-Geo is an AI-powered geographic information system (GIS) that leverages Large Language Models (LLMs) for automatic spatial data collection, analysis, and visualization. By adopting LLM as the reasoning core, it addresses spatial problems with self-generating, self-organizing, self-verifying, self-executing, and self-growing capabilities. The tool aims to make spatial analysis easier, faster, and more accessible by reducing manual operation time and delivering accurate results through case studies. It uses GPT-4 API in a Python environment and advocates for further research and development in autonomous GIS.

The `unstructured` library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of `unstructured` revolve around streamlining and optimizing the data processing workflow for LLMs. `unstructured` modular functions and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and efficient in transforming unstructured data into structured outputs.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

The Generative AI Application Builder on AWS (GAAB) is a solution that provides a web-based management dashboard for deploying customizable Generative AI (Gen AI) use cases. Users can experiment with and compare different combinations of Large Language Model (LLM) use cases, configure and optimize their use cases, and integrate them into their applications for production. The solution is targeted at novice to experienced users who want to experiment and productionize different Gen AI use cases. It uses LangChain open-source software to configure connections to Large Language Models (LLMs) for various use cases, with the ability to deploy chat use cases that allow querying over users' enterprise data in a chatbot-style User Interface (UI) and support custom end-user implementations through an API.

ROSGPT_Vision is a new robotic framework designed to command robots using only two prompts: a Visual Prompt for visual semantic features and an LLM Prompt to regulate robotic reactions. It is based on the Prompting Robotic Modalities (PRM) design pattern and is used to develop CarMate, a robotic application for monitoring driver distractions and providing real-time vocal notifications. The framework leverages state-of-the-art language models to facilitate advanced reasoning about image data and offers a unified platform for robots to perceive, interpret, and interact with visual data through natural language. LangChain is used for easy customization of prompts, and the implementation includes the CarMate application for driver monitoring and assistance.

The repository 'Awesome-LLM-Preference-Learning' is the official repository of a survey paper titled 'Towards a Unified View of Preference Learning for Large Language Models: A Survey'. It contains a curated list of papers related to preference learning for Large Language Models (LLMs). The repository covers various aspects of preference learning, including on-policy and off-policy methods, feedback mechanisms, reward models, algorithms, evaluation techniques, and more. The papers included in the repository explore different approaches to aligning LLMs with human preferences, improving mathematical reasoning in LLMs, enhancing code generation, and optimizing language model performance.

Awesome-LLMs-for-Video-Understanding is a repository dedicated to exploring Video Understanding with Large Language Models. It provides a comprehensive survey of the field, covering models, pretraining, instruction tuning, and hybrid methods. The repository also includes information on tasks, datasets, and benchmarks related to video understanding. Contributors are encouraged to add new papers, projects, and materials to enhance the repository.

Write Now is an all-in-one writing assistant that helps users elevate their text with features like proofreading, rewriting, friendly and professional tones, concise mode, and custom AI server configuration. It prioritizes user privacy and offers a Lite Edition for trial purposes. Users can install Write Now through the Havoc Store and configure AI server endpoints for enhanced functionality.

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

Collecte et analyse de données sur la résilience aux catastrophes naturelles.

Provides info on Webform pooling (beta).

Analysis of religiosity with an eye towards cognitive empathy and collective intelligences. Member of the Hipster Energy Team. https://hipster.energy/team

Profesor de posgrado con enfoque académico en Metodología de la Investigación, experto en desarrollo de clases y corrección de textos.

Language and Skill Training Centers collect personal information of learners, including progress tracking and sometimes payment details.

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

Turn your projects' Ideas into Clear Flowcharts(data flow) with Recommended Tech Stack

Fix mismatched entries in your data

Get into FAANG. Practice with an AI expert in algorithms, data structures, and system design. Do a mock interview and improve.

Moved to https://chat.openai.com/g/g-KFnF7qssT-palm-reader . Interprets palm readings from user-uploaded hand images. Turned off setting to use data for OpenAi to improve model.

Moved to https://chat.openai.com/g/g-q6GNcOkYx-face-reader. Reads faces to tell fortunes based on Chinese face reading. Turned off setting to use data for OpenAi to improve model.

Designing Strategic M&A Blueprints for Success in buying, selling or merging companies. Use this GPT to simplify, speed up and improve the quality of the M&A process. With custom data - 100s of creative options in deal flow, deal structuring, financing and more. **Version 2.2 - 28012024**

メールの作成・添削・返信の提案などを行います。メールの校正は、草案をそのままコピペするだけで可能です。件名・署名・添付ファイルなどを忘れないようリマインドも行います。さらにこのGPTは、特別な設定で「Use conversation data in your GPT to improve our models」の項目をOFFにしています。そのため、うっかり機密情報が含まれるメール文を送信してしまった場合でも、ChatGPTの学習に利用されないと思われます。 ※ただし、今後の仕様変更や他の経路からの情報漏洩などのリスクもありえます。個人情報は決して書き込まないでください。

Improve your curriculum telling chatgpt your cv and the desired job

Design a customized AI strategy to improve your business

Pet Grooming and Boarding Services store pet owner contact information, pet health data, and service preferences.

Analyzes customer churn and provides strategies to improve loyalty and retention.

Python data expert, focusing on quality, architecture, and optimization.

it helps me analyze serp results and data from certain websites in order to create an outline for the writer

I optimize dish discoverability using data analysis.