Best AI tools for< Reduce Employee Turnover >

Sprockets is an AI-powered hiring software designed to help businesses overcome today's unique hiring challenges. It automates manual tasks, reduces employee turnover, and helps businesses hire the best workers every time. Sprockets offers a range of features, including a virtual recruiter, sourcing, screening, applicant tracking, reporting, time to hire, background checks, and tax credits. It also integrates with a variety of other HR systems, making it easy to use alongside your existing tools. With Sprockets, businesses can improve their hiring process, save time and money, and find the best talent for their open positions.

Harver is an AI tool designed to help businesses make better talent decisions faster. It offers predictive assessments and automated solutions to optimize the hiring process. By using scientifically validated assessments, Harver enables companies to reduce employee turnover, maximize sourcing investments, hire faster, and cut costs with intelligent automation. The platform also provides data-driven hiring insights and business analytics to support unbiased decision-making.

Wendy Labs is an AI application that provides on-call AI Therapist services for teams to support mental health and well-being in the workplace. The application offers 24/7 mental health support, personalized assistance, and measurable insights to empower employees and improve team retention. Wendy aims to eliminate stigma associated with seeking mental health support and offers a cost-effective and scalable solution for organizations to address mental health issues effectively.

Graphio is an AI-driven employee scoring and scenario builder tool that leverages continuous, real-time scoring with AI agents to assess potential, predict flight risks, and identify future leaders. It replaces subjective evaluations with AI-driven insights to ensure accurate, unbiased decisions in talent management. Graphio uses AI to remove bias in talent management, providing real-time, data-driven insights for fair decisions in promotions, layoffs, and succession planning. It offers compliance features and rules that users can control, ensuring accurate and secure assessments aligned with legal and regulatory requirements. The platform focuses on security, privacy, and personalized coaching to enhance employee engagement and reduce turnover.

FLOWIT is an AI-powered coach designed for employee retention and growth. It offers a modern, holistic HR solution for people development in companies, focusing on frontline employees and desk workers. The tool provides personalized goal planning, seamless feedback integration, pulse surveys, and automatic translations in over 100 languages to enhance communication and professional development.

Beebzi.AI is an all-in-one AI content creation platform that offers a wide array of tools for generating various types of content such as articles, blogs, emails, images, voiceovers, and more. The platform utilizes advanced AI technology and behavioral science to empower businesses and individuals in their marketing and sales endeavors. With features like AI Article Wizard, AI Room Designer, AI Landing Page Generator, and AI Code Generation, Beebzi.AI revolutionizes content creation by providing customizable templates, multiple language support, and real-time data insights. The platform also offers various subscription plans tailored for individual entrepreneurs, teams, and businesses, with flexible pricing models based on word count allocations. Beebzi.AI aims to streamline content creation processes, enhance productivity, and drive organic traffic through SEO-optimized content.

Gaspar AI is an AI application that offers AI support capabilities for businesses. It provides a blend of Generative AI with human expertise to streamline operations, automate tasks, and enhance employee helpdesk support. Gaspar AI helps in reducing manual work, automating repetitive tasks, and optimizing knowledge management within companies. The application integrates seamlessly with popular platforms like Slack, MS Teams, and Jira to offer an effortless support experience. With powerful AI support capabilities, Gaspar AI accelerates approvals, automates processes, and offers instant answers to routine issues.

Nametag is an identity verification solution designed specifically for IT helpdesks. It helps businesses prevent social engineering attacks, account takeovers, and data breaches by verifying the identity of users at critical moments, such as password resets, MFA resets, and high-risk transactions. Nametag's unique approach to identity verification combines mobile cryptography, device telemetry, and proprietary AI models to provide unmatched security and better user experiences.

HR Assistant AI is an AI-powered tool designed to automate and streamline various HR tasks using artificial intelligence. It helps manage in-house questions with automated answers and reduce repetitive tasks. The tool revolutionizes how you handle routine employee inquiries and internal communication, offering a responsive and efficient system for managing repetitive internal requests and questions. HR Assistant AI is designed to be user-friendly, ensuring that HR professionals can easily harness its full potential. It integrates seamlessly with existing systems like Slack, prioritizes data privacy and security, and enhances operational efficiency by empowering HR teams to focus on strategic initiatives.

We360.ai is an award-winning employee monitoring software that helps businesses track employee productivity, attendance, and time. It offers a range of features such as real-time screenshots, app usage tracking, and detailed reports. We360.ai is designed to help businesses improve efficiency, streamline processes, and make informed decisions.

SynPlan is an AI solution designed to optimize healthcare workforce planning by predicting sick-leave absence and budget expenses. By utilizing advanced AI technology, SynPlan assists healthcare organizations in creating efficient plans, controlling budgets, and ensuring compliance with regulations. The application streamlines the staff planning process, enhances employee involvement, and increases continuity for patients. SynPlan is a product from Chiron Predictive Technologies AS, offering a comprehensive solution for workforce optimization in the healthcare sector.

Celayix is an employee scheduling and workforce management software that helps businesses streamline scheduling, track time and attendance, and improve team communication. The platform offers custom scheduling solutions tailored to the specific needs of each business, aiming to save time, reduce errors, prevent fraud, minimize disruptions, ensure accurate payroll, and improve employee satisfaction and retention. Celayix has been trusted by industry leaders across various sectors and industries to simplify their workforce management processes.

Deskflow is an employee experience platform powered by AI. It is designed to help companies improve employee productivity and reduce churn. Deskflow's AI is trained on a company's internal knowledge base and integrates with HRIS and ITSM systems to handle repetitive help desk tasks 10X faster. This frees up HR and IT teams to focus on more critical tasks, leading to cost savings. Deskflow also provides employees with a co-pilot that can answer questions, create tickets, and take other actions. This helps employees access the information they need quickly and easily, reducing the time it takes to resolve issues.

Sereda.ai is an AI-powered platform designed to unleash a team's potential by offering solutions for employee knowledge management, surveys, performance reviews, learning, and more. It integrates artificial intelligence to streamline HR processes, improve employee engagement, and boost productivity. The platform provides a user-friendly interface, personalized settings, and automation features to enhance organizational efficiency and reduce costs.

interface.ai is an AI platform that offers generative AI solutions and intelligent virtual assistant services tailored for banks and credit unions. The platform aims to optimize call center operations, automate processes, enhance customer and employee experience, and increase revenue for financial institutions. With a focus on conversational AI, voice-based biometrics, and caller-id authentication, interface.ai provides advanced solutions to improve operational efficiency and deliver personalized recommendations to prospects and customers. The platform is designed to handle call volumes, reduce wait times, and provide 24/7 member support, ultimately transforming call centers into revenue centers.

Risotto is an AI help desk application designed to streamline IT support processes. It offers features such as automatic ticket creation, routing, workflows, and escalations, as well as integrations with popular knowledge stores. Risotto aims to enhance security, improve employee experience, and save time and money by automating access requests and providing 24/7 support. The application leverages AI to provide fast responses, reduce support overhead, and handle access requests through natural language, ultimately making IT teams more efficient and effective.

THE POLICY CHATBOT is an AI-powered tool that transforms Standard Operating Procedures into a dynamic chatbot, providing instant answers and guidance to users within a company. It allows authorized employees to access and interact with company policies in real-time, enhancing efficiency and accuracy in policy-related queries. The chatbot leverages AI technology to extract information from uploaded PDF SOPs, offering a seamless user experience and freeing up employees to focus on more critical tasks.

Dashworks is an AI-powered knowledge assistant that provides accurate answers to internal employee questions in seconds. It unifies all your company knowledge bases to provide comprehensive and secure search capabilities. With Dashworks, you can reduce the time spent responding to repetitive questions, empower every team member with instant access to collective knowledge, and make quick and informed decisions across your organization.

Talkdesk is an AI-powered cloud contact center platform that helps businesses deliver exceptional customer experiences, reduce costs, and improve operational efficiencies. It offers a range of AI-driven solutions for industries, self-service, omnichannel engagement, workforce management, employee collaboration, and customer experience analytics. With features like automating customer self-service, empowering agents, generating insights, and customizing workflows, Talkdesk aims to revolutionize customer service through the power of AI.

Soundbite is a communication tool that combines video and audio messaging with sophisticated targeting and reports to reduce organizational noise. It allows users to create TikTok-style video and audio podcast content, engage with audiences authentically, and collect real-time engagement data. Soundbite is designed to accelerate and connect communication within Microsoft Teams, fostering meaningful dialogue and boosting employee engagement.

The Multi-Agent -Custom Automation Engine Solution Accelerator is an AI-driven orchestration system that manages a group of AI agents to accomplish tasks based on user input. It uses a FastAPI backend to handle HTTP requests, processes them through various specialized agents, and stores stateful information using Azure Cosmos DB. The system allows users to focus on what matters by coordinating activities across an organization, enabling GenAI to scale, and is applicable to most industries. It is intended for developing and deploying custom AI solutions for specific customers, providing a foundation to accelerate building out multi-agent systems.

Call Center AI is an AI-powered call center solution leveraging Azure and OpenAI GPT. It allows for AI agent-initiated phone calls or direct calls to the bot from a configured phone number. The bot is customizable for various industries like insurance, IT support, and customer service, with features such as accessing claim information, conversation history, language change, SMS sending, and more. The project is a proof of concept showcasing the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI for an automated call center solution.

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval. The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.

The RAG ChatBot project combines Lama.cpp, Chroma, and Streamlit to build a Conversation-aware Chatbot and a Retrieval-augmented generation (RAG) ChatBot. The RAG Chatbot works by taking a collection of Markdown files as input and provides answers based on the context provided by those files. It utilizes a Memory Builder component to load Markdown pages, divide them into sections, calculate embeddings, and save them in an embedding database. The chatbot retrieves relevant sections from the database, rewrites questions for optimal retrieval, and generates answers using a local language model. It also remembers previous interactions for more accurate responses. Various strategies are implemented to deal with context overflows, including creating and refining context, hierarchical summarization, and async hierarchical summarization.

Simple-OpenAI is a Java library that provides a simple way to interact with the OpenAI API. It offers consistent interfaces for various OpenAI services like Audio, Chat Completion, Image Generation, and more. The library uses CleverClient for HTTP communication, Jackson for JSON parsing, and Lombok to reduce boilerplate code. It supports asynchronous requests and provides methods for synchronous calls as well. Users can easily create objects to communicate with the OpenAI API and perform tasks like text-to-speech, transcription, image generation, and chat completions.

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.

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.

InfLLM is a training-free memory-based method that unveils the intrinsic ability of LLMs to process streaming long sequences. It stores distant contexts into additional memory units and employs an efficient mechanism to lookup token-relevant units for attention computation. Thereby, InfLLM allows LLMs to efficiently process long sequences while maintaining the ability to capture long-distance dependencies. Without any training, InfLLM enables LLMs pre-trained on sequences of a few thousand tokens to achieve superior performance than competitive baselines continually training these LLMs on long sequences. Even when the sequence length is scaled to 1, 024K, InfLLM still effectively captures long-distance dependencies.

ZipNN is a lossless and near-lossless compression library optimized for numbers/tensors in the Foundation Models environment. It automatically prepares data for compression based on its type, allowing users to focus on core tasks without worrying about compression complexities. The library delivers effective compression techniques for different data types and structures, achieving high compression ratios and rates. ZipNN supports various compression methods like ZSTD, lz4, and snappy, and provides ready-made scripts for file compression/decompression. Users can also manually import the package to compress and decompress data. The library offers advanced configuration options for customization and validation tests for different input and compression types.

ABQ-LLM is a novel arbitrary bit quantization scheme that achieves excellent performance under various quantization settings while enabling efficient arbitrary bit computation at the inference level. The algorithm supports precise weight-only quantization and weight-activation quantization. It provides pre-trained model weights and a set of out-of-the-box quantization operators for arbitrary bit model inference in modern architectures.

Black Marlin is a UCI compliant chess engine fully written in Rust by Doruk Sekercioglu. It supports Chess960 and features a variety of search algorithms, pruning techniques, and evaluation methods. Black Marlin is designed to be efficient and accurate, and it has been shown to perform well against other top chess engines.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.

STILL is an open-source project exploring slow-thinking reasoning systems, focusing on o1-like reasoning systems. The project has released technical reports on enhancing LLM reasoning with reward-guided tree search algorithms and implementing slow-thinking reasoning systems using an imitate, explore, and self-improve framework. The project aims to replicate the capabilities of industry-level reasoning systems by fine-tuning reasoning models with long-form thought data and iteratively refining training datasets.

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