Best AI tools for< Reward User Loyalty >

Gamelight is a revolutionary AI platform for mobile games marketing. It utilizes advanced algorithms to analyze app usage data and users' behavior, creating detailed user profiles and delivering personalized game recommendations. The platform also features a loyalty program that rewards users with points for gameplay duration, fostering engagement and retention. Gamelight's ROAS Algorithm identifies users with the highest likelihood of making a purchase on your game, providing exclusive access to valuable data points for effective user acquisition.

PurplePro is an AI-powered loyalty club platform designed to help businesses launch and manage loyalty programs effortlessly. With features like referral management, streaks, quizzes, variable rewards, and automated triggers, PurplePro aims to enhance customer engagement, retention, and acquisition. The platform offers advanced customization and segmentation options, making it suitable for direct-to-consumer (D2C) brands looking to boost customer loyalty and increase revenue. PurplePro's AI capabilities enable users to create and implement effective loyalty campaigns in just a few clicks, without the need for coding knowledge. The platform also provides a seamless integration with Shopify, making it easy for businesses to set up and activate their loyalty programs.

Vavada online casino is a popular platform that offers a wide range of casino games to players worldwide. Established in 2017, it has quickly gained popularity for its vast library of 4500 games and user-friendly features. Licensed by Curacao, Vavada ensures fair gameplay and reliable services, with a reputation for timely payouts. The platform stands out for its easy withdrawal process and unique rewards program, offering bonuses for deposits and individual gaming achievements. With a global presence, Vavada attracts gamers from different countries and continues to expand its language support.

Gensbot is an innovative platform that empowers users to create personalized goods on demand. By leveraging advanced AI technology, Gensbot eliminates the hassle of searching, stressing, or second-guessing, offering a seamless and convenient online shopping experience. Users can simply prompt the AI with their desired product specifications, and Gensbot will generate unique designs tailored to their preferences. This user-centric approach extends to the production process, where Gensbot prioritizes local manufacturing to minimize shipping distances and carbon emissions, contributing to a greener planet. Additionally, Gensbot rewards users with tokens for every purchase, which can be redeemed for future designs or exclusive offers, fostering a sustainable and rewarding shopping experience.

The Advantage Club is an AI-powered Employee Engagement Platform that offers solutions for workforce engagement through various features such as recognition, marketplace, wellness, incentive automation, communities, and pulse tracking. It digitizes rewarding processes, curates personalized vouchers and gifts, elevates well-being with a holistic wellness platform, automates sales contests, fosters inclusion through communities, and captures employee sentiments through surveys and quizzes. The platform integrates with global HRIS and communication tools, provides real-time analytics, and offers a seamless user experience for both employees and administrators.

Smartwithpoints.co.uk is a website that helps users earn points through various activities such as surveys, online shopping, and more. Users can redeem these points for rewards like gift cards, cashback, and discounts. The platform ensures security by verifying user connections and requires enabling JavaScript and cookies for a seamless experience. Powered by Cloudflare, the site prioritizes performance and security for its users.

Text Enhancer is a free online AI-powered tool that helps users enhance and improve their writing. It offers a range of features, including text enhancement, rewriting, and advanced paraphrasing capabilities. The tool is designed to be user-friendly and provides quick and efficient assistance to refine and elevate the quality of writing. Text Enhancer is ideal for students, professionals, and everyday writers who want to improve the clarity, eliminate redundancy, and ensure their writing is impactful and engaging.

Brave is a privacy-focused web browser that prioritizes user experience by blocking ads, trackers, and unwanted content. It offers features such as Shields, VPN, Leo AI Wallet, Rewards, Playlist, News Talk, and advanced privacy settings. Brave aims to provide a faster and more secure browsing experience while protecting user data and privacy. The browser is built on the open-source Chromium Web core and offers a private search engine called Brave Search. With a focus on user-first design, Brave is designed to save time, data, and battery life for its users.

Catizen is an AI-powered application that combines gaming, blockchain technology, and artificial intelligence to create a unique virtual world for users and their digital companions, AI kitties. With features like mini-games, user acquisition tasks, and blockchain-powered gaming, Catizen offers a fun and interactive experience for players. The application is designed to provide entertainment, user engagement, and rewards through a seamless integration of AI technology and gaming elements.

Infinilearn is a personalized learning platform that revolutionizes education by offering gamified and interactive learning experiences. It features a customized AI Guide that grows with the user, providing personalized learning paths, gamified level system, earning grants directly through the app, and human-AI powered symbiosis. Infinilearn aims to make learning engaging, rewarding, and tailored to individual needs.

TravelFeed is a comprehensive travel blogging platform that allows users to create and share travel stories, connect with fellow travelers, and earn rewards through blogging. The platform offers a range of features including free blog creation, custom maps, AI-powered content creation tools, fast article delivery, and cryptocurrency earnings. TravelFeed is optimized for travelers and provides a user-friendly experience for both novice and experienced bloggers.

Answerthis is an AI-powered Q&A platform that connects users with experts in various fields. It allows users to ask questions and receive personalized answers from a global community of experts. Answerthis covers a wide range of topics, including business, technology, science, health, and more. The platform is designed to be user-friendly and accessible, making it easy for anyone to find the information they need.

Yoursearch.ai is an AI-powered search engine web application that aims to revolutionize internet research by providing users with better search results without any advertising. With features like a new Messenger service, summarized and relevant search results, and the ability to share findings with family and friends, Yoursearch.ai offers a user-friendly and efficient search experience. The application also emphasizes user control and personalization, allowing users to get only the most relevant information. Yoursearch.ai is committed to protecting minors and offers a service for age verification on websites with adult content. Overall, Yoursearch.ai is a smart search tool that leverages artificial intelligence to enhance productivity and knowledge discovery.

Moot is an innovative application that allows users to share their thoughts and opinions on any website or link without limitations. It provides a platform for open discussion and interaction, enabling users to engage with content across the web freely and express their views in a community-driven environment. Moot's cutting-edge features are designed to enhance the browsing experience and facilitate meaningful interactions, making it an essential tool for anyone looking to engage with online content in a more dynamic and engaging way.

Questflow is a decentralized AI agent economy platform that allows users to orchestrate multiple AI agents to gather insights, take action, and earn rewards autonomously. It serves as a co-pilot for work, helping knowledge workers automate repetitive tasks in a private, safety-first approach. The platform offers features such as multi-agent orchestration, user-friendly dashboard, visual reports, smart keyword generator, content evaluation, SEO goal setting, automated alerts, actionable SEO tips, regular SEO goal setting, and link optimization wizard.

Questflow is a decentralized AI agent economy platform that allows users to orchestrate multiple AI agents to gather insights, take action, and earn rewards autonomously. It serves as a co-pilot for work, helping knowledge workers automate repetitive tasks in a private and safety-first approach. With features like multi-agent orchestration, user-friendly dashboard, visual reports, smart keyword generator, content evaluation, SEO goal setting, automated alerts, and actionable SEO tips, Questflow empowers users to dispatch tasks to AI agents, take action on tasks automatically, and distribute economic incentives to creators and guardians of AI agents through a blockchain network. The platform aims to build the future of work by rewarding AI agent creators and supporters, sharing revenue from users utilizing multi-agent orchestration for AI automation, and rewarding guardian node holders who validate AI agent outcomes for the ecosystem.

PTool is an AI application that offers various AI tools and features to users. Users can generate AI art, change outfits in photos, swap faces, create AI girls, and more using the advanced AI technology provided by PTool. The application is designed to be user-friendly and fun, allowing users to create unique pictures and videos with ease. PTool is developed by Hong Kong Vision World AI Limited and offers an affiliate program for users to earn rewards. The application also ensures user privacy and security through its strict privacy policy and terms of service.

Springworks is a comprehensive HR software solution designed for growing businesses. The platform offers a range of products and resources to streamline recruitment, onboarding, and employee engagement processes. With features like interactive games, background verifications, and employee rewards and recognition platforms, Springworks aims to revolutionize HR practices by incorporating blockchain, machine learning, and empathy into its solutions. The platform caters to over 2,000 clients and boasts a large user base across various products.

BET4D is a trusted online platform for Toto 4D and Togel games, offering a wide range of features and benefits for players. It provides a complete and rewarding experience with the chance to win big jackpots. With a variety of games and generous prize promotions, BET4D aims to bring excitement and nostalgia to players, ensuring quick withdrawal processes and a user-friendly interface. As the first in Asia and Indonesia, BET4D stands out with its extensive game selection and attractive rewards, promising a thrilling gaming experience and numerous opportunities for winning. The platform is designed to cater to players' needs and preferences, making it a popular choice for online Toto and Togel enthusiasts.

Vouchery.io is an all-in-one promotional engine designed to help businesses orchestrate and deliver the right incentives at every stage of the customer lifecycle. It offers features such as Coupons & Discounts, Loyalty Program, Gift Cards & Vouchers, and Referral Program. The platform is AI-powered, enabling contextual, predictive marketing promotions and special offers to drive customer engagement. Vouchery allows users to create, distribute, and manage promo campaigns efficiently, with capabilities to analyze data, maximize promo ROI, manage and collaborate on promotions, detect coupon abuse, and personalize incentives. Trusted by leading brands globally, Vouchery aims to help businesses scale their promotional infrastructure and prevent fraud through its headless architecture and machine learning technology.

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.

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.

This repository contains code for training reward models for Deep Reinforcement Learning-based Reward-modulated Hierarchical Fine-tuning (DRL-based RLHF), Iterative Selection Fine-tuning (Rejection sampling fine-tuning), and iterative Decision Policy Optimization (DPO). The reward models are trained using a Bradley-Terry model based on the Gemma and Mistral language models. The resulting reward models achieve state-of-the-art performance on the RewardBench leaderboard for reward models with base models of up to 13B parameters.

This repository, RLHF-Reward-Modeling, is dedicated to training reward models for DRL-based RLHF (PPO), Iterative SFT, and iterative DPO. It provides state-of-the-art performance in reward models with a base model size of up to 13B. The installation instructions involve setting up the environment and aligning the handbook. Dataset preparation requires preprocessing conversations into a standard format. The code can be run with Gemma-2b-it, and evaluation results can be obtained using provided datasets. The to-do list includes various reward models like Bradley-Terry, preference model, regression-based reward model, and multi-objective reward model. The repository is part of iterative rejection sampling fine-tuning and iterative DPO.

This is a super customizable, concise, user-friendly, and efficient toolkit for training and aligning LLMs. It provides support for various methods such as SFT, Distillation, DPO, ORPO, CPO, SimPO, SMPO, Non-pair Reward Modeling, Special prompts basket format, Rejection Sampling, Scoring using RM, Effective FAISS Map-Reduce Deduplication, LLM scoring using RM, NER, CLIP, Classification, and STS. The toolkit offers key libraries like PyTorch, Transformers, TRL, Accelerate, FSDP, DeepSpeed, and tools for result logging with wandb or clearml. It allows mixing datasets, generation and logging in wandb/clearml, vLLM batched generation, and aligns models using the SMPO method.

h2oGPT is an Apache V2 open-source project that allows users to query and summarize documents or chat with local private GPT LLMs. It features a private offline database of any documents (PDFs, Excel, Word, Images, Video Frames, Youtube, Audio, Code, Text, MarkDown, etc.), a persistent database (Chroma, Weaviate, or in-memory FAISS) using accurate embeddings (instructor-large, all-MiniLM-L6-v2, etc.), and efficient use of context using instruct-tuned LLMs (no need for LangChain's few-shot approach). h2oGPT also offers parallel summarization and extraction, reaching an output of 80 tokens per second with the 13B LLaMa2 model, HYDE (Hypothetical Document Embeddings) for enhanced retrieval based upon LLM responses, a variety of models supported (LLaMa2, Mistral, Falcon, Vicuna, WizardLM. With AutoGPTQ, 4-bit/8-bit, LORA, etc.), GPU support from HF and LLaMa.cpp GGML models, and CPU support using HF, LLaMa.cpp, and GPT4ALL models. Additionally, h2oGPT provides Attention Sinks for arbitrarily long generation (LLaMa-2, Mistral, MPT, Pythia, Falcon, etc.), a UI or CLI with streaming of all models, the ability to upload and view documents through the UI (control multiple collaborative or personal collections), Vision Models LLaVa, Claude-3, Gemini-Pro-Vision, GPT-4-Vision, Image Generation Stable Diffusion (sdxl-turbo, sdxl) and PlaygroundAI (playv2), Voice STT using Whisper with streaming audio conversion, Voice TTS using MIT-Licensed Microsoft Speech T5 with multiple voices and Streaming audio conversion, Voice TTS using MPL2-Licensed TTS including Voice Cloning and Streaming audio conversion, AI Assistant Voice Control Mode for hands-free control of h2oGPT chat, Bake-off UI mode against many models at the same time, Easy Download of model artifacts and control over models like LLaMa.cpp through the UI, Authentication in the UI by user/password via Native or Google OAuth, State Preservation in the UI by user/password, Linux, Docker, macOS, and Windows support, Easy Windows Installer for Windows 10 64-bit (CPU/CUDA), Easy macOS Installer for macOS (CPU/M1/M2), Inference Servers support (oLLaMa, HF TGI server, vLLM, Gradio, ExLLaMa, Replicate, OpenAI, Azure OpenAI, Anthropic), OpenAI-compliant, Server Proxy API (h2oGPT acts as drop-in-replacement to OpenAI server), Python client API (to talk to Gradio server), JSON Mode with any model via code block extraction. Also supports MistralAI JSON mode, Claude-3 via function calling with strict Schema, OpenAI via JSON mode, and vLLM via guided_json with strict Schema, Web-Search integration with Chat and Document Q/A, Agents for Search, Document Q/A, Python Code, CSV frames (Experimental, best with OpenAI currently), Evaluate performance using reward models, and Quality maintained with over 1000 unit and integration tests taking over 4 GPU-hours.

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

Proactive Agent is a project aimed at constructing a fully active agent that can anticipate user's requirements and offer assistance without explicit requests. It includes a data collection and generation pipeline, automatic evaluator, and training agent. The project provides datasets, evaluation scripts, and prompts to finetune LLM for proactive agent. Features include environment sensing, assistance annotation, dynamic data generation, and construction pipeline with a high F1 score on the test set. The project is intended for coding, writing, and daily life scenarios, distributed under Apache License 2.0.

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

ZORA AIO is a software tool designed for interacting with the ZORA.CO ecosystem, offering extensive customization options, a wide range of contracts, and user-friendly settings. Users can perform various tasks related to NFT minting, bridging, gas management, token transactions, and more. The tool requires Python 3.10.10 for operation and provides detailed guidance on installation and usage. It includes features such as official and instant bridges, minting NFTs on different networks, creating ERC1155 contracts, updating NFT metadata, and more. Users can configure private keys and proxies in the _data_ folder and adjust settings in the _settings.py_ file. ZORA AIO is suitable for users looking to streamline their interactions within the ZORA.CO ecosystem.

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.

VLM-R1 is a stable and generalizable R1-style Large Vision-Language Model proposed for Referring Expression Comprehension (REC) task. It compares R1 and SFT approaches, showing R1 model's steady improvement on out-of-domain test data. The project includes setup instructions, training steps for GRPO and SFT models, support for user data loading, and evaluation process. Acknowledgements to various open-source projects and resources are mentioned. The project aims to provide a reliable and versatile solution for vision-language tasks.

Search-R1 is a tool that trains large language models (LLMs) to reason and call a search engine using reinforcement learning. It is a reproduction of DeepSeek-R1 methods for training reasoning and searching interleaved LLMs, built upon veRL. Through rule-based outcome reward, the base LLM develops reasoning and search engine calling abilities independently. Users can train LLMs on their own datasets and search engines, with preliminary results showing improved performance in search engine calling and reasoning tasks.

The 𝓜𝓔𝓥-𝓑𝓞𝓣 is a revolutionary tool that empowers users to maximize their ETH earnings through advanced slippage techniques within the Ethereum ecosystem. Its user-centric design, optimized earning mechanism, and comprehensive security measures make it an indispensable tool for traders seeking to enhance their crypto trading strategies. With its current free access, there's no better time to explore the 𝓜𝓔𝓥-𝓑𝓞𝓣's capabilities and witness the transformative impact it can have on your crypto trading journey.

LLM Reasoners is a library that enables LLMs to conduct complex reasoning, with advanced reasoning algorithms. It approaches multi-step reasoning as planning and searches for the optimal reasoning chain, which achieves the best balance of exploration vs exploitation with the idea of "World Model" and "Reward". Given any reasoning problem, simply define the reward function and an optional world model (explained below), and let LLM reasoners take care of the rest, including Reasoning Algorithms, Visualization, LLM calling, and more!

Xwin-LM is a powerful and stable open-source tool for aligning large language models, offering various alignment technologies like supervised fine-tuning, reward models, reject sampling, and reinforcement learning from human feedback. It has achieved top rankings in benchmarks like AlpacaEval and surpassed GPT-4. The tool is continuously updated with new models and features.

PsyDI is a multi-modal and interactive chatbot designed for psychological assessments. It aims to explore users' cognitive styles through interactive analysis of their inputs, ultimately determining their Myers-Briggs Type Indicator (MBTI). The chatbot offers customized feedback and detailed analysis for each user, with upcoming features such as an MBTI gallery. Users can access PsyDI directly online to begin their journey of self-discovery.

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.

This repository focuses on test-time computing, exploring various strategies such as test-time adaptation, modifying the input, editing the representation, calibrating the output, test-time reasoning, and search strategies. It covers topics like self-supervised test-time training, in-context learning, activation steering, nearest neighbor models, reward modeling, and multimodal reasoning. The repository provides resources including papers and code for researchers and practitioners interested in enhancing the reasoning capabilities of large language models.

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