Best AI tools for< Compensation Analyst >

Visier is a people analytics and workforce planning software that provides insights to drive business impact. It offers solutions to solve critical people challenges, such as identifying star leaders, boosting revenue growth, managing through recessions, retaining top talent, hiring the right people, making smarter compensation decisions, creating a happier workplace, delivering on diversity goals, and promoting internal mobility. Visier helps businesses and employees succeed together by simplifying the people analytics process and enabling data-driven decision-making.

Dan. Z is a personal website for Daniel Zheng, showcasing a diverse range of content including blogs, guides, and resources. Daniel integrates advanced AI tools, particularly GPTs, into his daily routine to enhance efficiency and creativity in managing tasks. The website covers topics such as optimizing Twitter engagement, obtaining a private pilot license, understanding equity compensation in Silicon Valley, crafting a budget-friendly anti-aging routine, and analyzing financial statements for effective decision-making. With a focus on leveraging AI for everyday tasks and knowledge sharing, Dan. Z offers valuable insights and experiences for readers interested in technology, aviation, finance, and personal development.

6figr.com is an AI-driven platform that provides users with real-time, verified data on salaries across different levels, roles, companies, skills, experience, and locations. It helps individuals understand their market worth, make informed career decisions, and navigate their career paths with confidence. The platform offers features such as analyzing and comparing salaries, exploring compensation data, auto applying to jobs using AI, getting career insights through AI-driven services, and tracking the latest layoffs worldwide.

Directly is an AI-powered platform that offers on-demand and automated customer support solutions. The platform connects organizations with highly qualified experts who can handle customer inquiries efficiently. By leveraging AI and machine learning, Directly automates repetitive questions, improving business continuity and digital transformation. The platform follows a pay-for-performance compensation model and provides global support in multiple languages. Directly aims to enhance customer satisfaction, reduce contact center volume, and save costs for businesses.

CoverDoc.ai is an AI-powered tool that helps job seekers write compelling cover letters, ace interviews, and negotiate like a pro. It uses AI to generate personalized cover letters based on your work experience and the job you're applying for. CoverDoc.ai also provides company insights, interview prep, and compensation evaluations to help you land your dream job faster.

Salary Sage is an AI-driven platform designed to assist users in negotiating their salaries effectively. The application offers AI-driven mock negotiations to simulate authentic salary negotiation scenarios, real-time coaching to provide hints during negotiations, personalized feedback tailored to the user's target company's expectations, and progress tracking to monitor improvement over time. With Salary Sage, users can maximize their total compensation and avoid leaving money on the table by enhancing their negotiation skills.

INOP is an impact-driven professional network that uses advanced AI matching algorithms to connect professionals with like-minded individuals, job opportunities, and companies that share their values and interests. The platform offers personalized job alerts, geolocation features, and actionable compensation insights. INOP goes beyond traditional networking platforms by providing rich enterprise-level insights on company culture, values, reputation, and ESG data sets. Users can access salary benchmarks, career path insights, and skills benchmarking to make informed career decisions.

CompFox is an AI-enhanced legal research tool designed for workers' compensation professionals in California. It streamlines legal research by providing access to a comprehensive database of workers' compensation case law and statutory codes. With features like AI-driven search, chat for case-specific analysis, intelligent case file analysis, collaborative research folders, and one-stop statutory code search, CompFox helps attorneys and insurance adjusters save time, reduce stress, and improve case outcomes.

Forma.ai is an AI-powered sales performance management software designed to optimize and run sales compensation processes efficiently. The platform offers features such as AI-powered plan configuration, connected modeling for optimization, end-to-end automation of sales comp management, flexible data integrations, and next-gen automation. Forma.ai provides advantages such as faster decision-making, revenue capture, cost reduction, flexibility, and scalability. However, some disadvantages include the need for AI skills, potential data security concerns, and initial learning curve. The application is suitable for jobs in sales operations, finance, human resources, sales compensation planning, and sales performance data management. Users can find Forma.ai using keywords like sales comp, AI-powered software, sales performance management, sales incentives, and sales compensation. The tool can be used for tasks like design with AI, plan and model, deploy and manage, optimize comp plans, and automate sales comp.

Tiered is a career coaching platform that provides personalized advice and insights to help users make informed decisions about their careers. The platform uses AI to analyze user data and provide tailored recommendations on whether to stay in their current role or seek new opportunities. Tiered also provides users with peer rankings and expert guidance to help them accelerate their professional journey.

The AI Image Generator by Shutterstock is an innovative tool that allows users to instantly create stunning images from text prompts. Users can apply various visual styles such as cartoon, oil painting, photorealistic, and 3D to their images, customize them, and download the AI-generated images for use in creative projects or social media sharing. The tool supports over 20 languages and is designed to avoid generating inappropriate or offensive content. It also compensates contributors for their roles in the generative AI process, promoting responsible AI practices.

tldrbot.co is a website that provides a summarization tool for users to generate concise summaries of long texts or articles. The tool aims to help users save time by condensing lengthy content into shorter, more digestible versions. Users can simply input the text they want to summarize, and the tool will generate a condensed version, making it easier to grasp the main points without having to read through the entire text. tldrbot.co is designed to be user-friendly and efficient, catering to individuals who need to quickly extract key information from lengthy documents.

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.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

Welcome to the ultimate hub for on-device Large Language Models (LLMs)! This repository is your go-to resource for all things related to LLMs designed for on-device deployment. Whether you're a seasoned researcher, an innovative developer, or an enthusiastic learner, this comprehensive collection of cutting-edge knowledge is your gateway to understanding, leveraging, and contributing to the exciting world of on-device LLMs.

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

This repo contains a comprehensive paper list of **Model Quantization** for efficient deep learning on AI conferences/journals/arXiv. As a highlight, we categorize the papers in terms of model structures and application scenarios, and label the quantization methods with keywords.

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.

The Next-Generation LLM-based Recommender Systems Survey is a comprehensive overview of the latest advancements in recommender systems leveraging Large Language Models (LLMs). The survey covers various paradigms, approaches, and applications of LLMs in recommendation tasks, including generative and non-generative models, multimodal recommendations, personalized explanations, and industrial deployment. It discusses the comparison with existing surveys, different paradigms, and specific works in the field. The survey also addresses challenges and future directions in the domain of LLM-based recommender systems.

This paper list is about Large Language Model-enhanced Recommender System. It also contains some related works. Keywords: recommendation system, large language models

AIS-catcher: A multi-platform AIS Receiver

ComfyUI is a highly-configurable, cloud-first AI-Dock container that allows users to run ComfyUI without bundled models or third-party configurations. Users can configure the container using provisioning scripts. The Docker image supports NVIDIA CUDA, AMD ROCm, and CPU platforms, with version tags for different configurations. Additional environment variables and Python environments are provided for customization. ComfyUI service runs on port 8188 and can be managed using supervisorctl. The tool also includes an API wrapper service and pre-configured templates for Vast.ai. The author may receive compensation for services linked in the documentation.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

Awesome-LLM-Inference: A curated list of 📙Awesome LLM Inference Papers with Codes, check 📖Contents for more details. This repo is still updated frequently ~ 👨‍💻‍ Welcome to star ⭐️ or submit a PR to this repo!

Companion is an Obsidian plugin that adds an AI-powered autocomplete feature to your note-taking and personal knowledge management platform. With Companion, you can write notes more quickly and easily by receiving suggestions for completing words, phrases, and even entire sentences based on the context of your writing. The autocomplete feature uses OpenAI's state-of-the-art GPT-3 and GPT-3.5, including ChatGPT, and locally hosted Ollama models, among others, to generate smart suggestions that are tailored to your specific writing style and preferences. Support for more models is planned, too.

SUPIR is an AI-based image processing and upscaling tool that leverages cutting-edge technology to enhance image quality and resolution. The tool provides users with the ability to upscale images with high generalization and quality, as well as specific settings for light degradation scenarios. It offers a range of models and checkpoints for different use cases, along with detailed instructions for installation and usage. SUPIR also includes features for color fixing, linear CFG adjustments, and various prompts for image enhancement. The tool is designed for non-commercial use only and comes with a contact email for inquiries and permission requests for commercial use.

Guides organization's executive compensation strategy and decisions.

Develops and implements sales compensation plans and policies.

Convert salaries across countries, adjusted for Purchasing Power Parity (PPP)

HR expert with 20+ years of experience, responding in any addressed language.

Your personalized guide to understanding Company benefits.

Advises on employee benefits programs and policies.

Tracking executive resignations and hires in public companies

Advises on equity plans to enhance employee compensation.

Balanced, insightful benefits analysis expert.

Guides strategic HR decisions and supports business objectives.

Expertly synthesizes complex info into clear, concise insights.

Summarizes texts in various styles so they can be effective to various stakeholders

A skilled writing assistant for Medium, adept at enhancing, condensing, and analyzing text.

Compensation Advisor for HR and managers (v0.4)

Guide on veterans' affairs, focusing on compensation and benefits with updated 38 CFR Part 4.

Workers Compensation helper for clinicians: policies, offering professional, informative guidance.

Advises on employee compensation and benefits strategies.

Expert guidance on startup compensation and corresponding tax implications. This should not be construed as financial advice.

Manages payroll operations ensuring accurate and timely compensation.

HR consultant for startups, offering practical HR advice