Best AI tools for< Reward Contributors >

Bagel is an AI & Cryptography Research Lab that focuses on making open source AI monetizable by leveraging novel cryptography techniques. Their innovative fine-tuning technology tracks the evolution of AI models, ensuring every contribution is rewarded. Bagel is built for autonomous AIs with large resource requirements and offers permissionless infrastructure for seamless information flow between machines and humans. The lab is dedicated to privacy-preserving machine learning through advanced cryptography schemes.

Zesh AI is an advanced AI-powered ecosystem that offers a range of innovative tools and solutions for Web3 projects, community managers, data analysts, and decision-makers. It leverages AI Agents and LLMs to redefine KOL analysis, community engagement, and campaign optimization. With features like InfluenceAI for KOL discovery, EngageAI for campaign management, IDAI for fraud detection, AnalyticsAI for data analysis, and Wallet & NFT Profile for community empowerment, Zesh AI provides cutting-edge solutions for various aspects of Web3 ecosystems.

Neurochain AI is a decentralized AI-as-a-Service (DeAIAS) network that provides an innovative solution for building, launching, and using AI-powered decentralized applications (dApps). It offers a community-driven approach to AI development, incentivizing contributors with $NCN rewards. The platform aims to address challenges in the centralized AI landscape by democratizing AI development and leveraging global computing resources. Neurochain AI also features a community-powered content generation engine and is developing its own independent blockchain. The team behind Neurochain AI includes experienced professionals in infrastructure, cryptography, computer science, and AI research.

Perspect is an AI-powered platform designed for high-performance software teams. It offers real-time insights into team contributions and impact, optimizing developer experience, and rewarding high-performers. With 50+ integrations, Perspect enables visualization of impact, benchmarking performance, and uses machine learning models to identify and eliminate blockers. The platform is deeply integrated with web3 wallets and offers built-in reward mechanisms. Managers can align resources around crucial KPIs, identify top talent, and prevent burnout. Perspect aims to enhance team productivity and employee retention through AI and ML technologies.

Questflow is a decentralized AI agent economy platform that enables 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. The platform offers user-friendly dashboards, visual reports, smart keyword generators, content evaluation, SEO goal setting, automated alerts, actionable SEO tips, and link optimization wizards. Users can dispatch tasks to AI agents in groups and take action on tasks automatically through decentralized multi-agent orchestration. Questflow also facilitates the distribution of economic incentives to creators and guardians of AI agents via a blockchain network, rewarding them for their contributions to the future of work.

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 users to manage and automate coupon distribution efficiently. Vouchery.io aims to maximize promotional ROI, prevent coupon abuse, and personalize promotions through a flexible rule engine. Trusted by leading brands worldwide, Vouchery.io provides a programmable Coupon API, 24/7 customer support, and a headless architecture for seamless integration across platforms.

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.

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.

Community Hub is a free-to-use, AI-powered community management platform that helps you automate tasks, reward members, and keep your community engaged. With Community Hub, you can:

MyShell is an AI application that enables users to build, share, and own AI agents. It serves as a platform connecting users, creators, and open-source AI researchers. With MyShell, users can interact with AI friends and work companions, such as Shizuku and Emma 01 03, through voice and video conversations. The application empowers creators to leverage generative AI models to transform ideas into AI-native apps quickly. MyShell fosters a creator economy in the AI-native era, allowing anyone to become a creator, take ownership of their work, and be rewarded for their ideas.

Huntr is the world's first bug bounty platform for AI/ML. It provides a single place for security researchers to submit vulnerabilities, ensuring the security and stability of AI/ML applications, including those powered by Open Source Software (OSS).

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 includes a loyalty program that rewards users for gameplay duration, fostering retention and engagement. Gamelight's ROAS Algorithm identifies users with the highest likelihood of making a purchase on your game, providing a competitive advantage in user acquisition.

Almonds Ai is a powerful and scalable AI-driven platform that focuses on channel engagement for businesses. It offers solutions such as B2B loyalty programs, interactive product learning, and hybrid/virtual events to enhance partner engagement and drive revenue growth. With features like platform customization, dedicated customer support, data & AI engine, and global recognition, Almonds Ai aims to deliver measurable conversions and return on experience for its users. The platform caters to various industries including technology, retail, auto, and banking, helping businesses engage, educate, and reward their channel partners effectively.

The website 'What should I build next?' is a platform designed to help developers generate random development project ideas. It offers a variety of unique combinations for users to choose from, inspiring them to start new projects. Users can pick components or randomize, participate in challenge mode, and generate project ideas. The platform also rewards active users with free credits daily, ensuring a continuous flow of ideas for development projects.

Giftpack is a global gifting platform that offers a smart gifting service to help businesses make a unique impression through personalized experiences. The platform leverages data and design to strengthen relationships, automate gifting operations, boost retention, and drive recurring revenue. With a diverse global catalog, Giftpack provides branded merchandise, vouchers, and experiences sourced locally and globally. The platform also offers integrated automation, intelligent gift customization powered by AI, and a reward program system. Giftpack aims to simplify gifting processes and enhance engagement and retention within organizations.

Teachr is an online course creation platform that uses artificial intelligence to help users create and sell stunning courses. With Teachr, users can create interactive courses with 3D visuals, 360° perspectives, and augmented reality. They can also use speech recognition and AI voice-over technology to create engaging learning experiences. Teachr also offers a range of features to help users manage their courses, including a payment system, reward system, and fitness challenges. With Teachr, users can turn their expertise into a product that they can sell infinitely and create the perfect learning experience for their customers.

Charstar is an AI-powered platform where users can chat with virtual AI characters representing various personalities and backgrounds. Users can create chats with these characters, earn rewards, and explore a wide range of characters from different genres such as anime, movies, games, books, and more. The platform offers a unique and interactive experience for users to engage with AI characters and immerse themselves in storytelling and role-playing scenarios.

Regard is an AI-powered healthcare solution that automates clinical tasks, making it easier for clinicians to focus on patient care. It integrates with the EHR to analyze patient records and provide insights that can help improve diagnosis and treatment. Regard has been shown to improve hospital finances, patient safety, and physician happiness.

Reword is an AI-powered writing assistant that helps you write better articles, faster. With Reword, you can train your own AI assistant to write in your unique voice and style. Reword also provides you with a library of pre-trained AI assistants that you can use to get started quickly. Reword is the perfect tool for anyone who wants to write better articles, faster.

Bing Sign in Rewards is a loyalty program that allows users to earn points for using Bing search engine and other Microsoft products and services. Points can be redeemed for gift cards, merchandise, and other rewards.

SatoshiVM Pioneers NFT is a collection of NFTs issued by SatoshiVM team to reward early contributors. The repository contains information about the NFT collection, including the contract address and winner list.

LLM-Synthetic-Data is a repository focused on real-time, fine-grained LLM-Synthetic-Data generation. It includes methods, surveys, and application areas related to synthetic data for language models. The repository covers topics like pre-training, instruction tuning, model collapse, LLM benchmarking, evaluation, and distillation. It also explores application areas such as mathematical reasoning, code generation, text-to-SQL, alignment, reward modeling, long context, weak-to-strong generalization, agent and tool use, vision and language, factuality, federated learning, generative design, and safety.

The LLM Evaluation guidebook provides comprehensive guidance on evaluating language model performance, including different evaluation methods, designing evaluations, and practical tips. It caters to both beginners and advanced users, offering insights on model inference, tokenization, and troubleshooting. The guide covers automatic benchmarks, human evaluation, LLM-as-a-judge scenarios, troubleshooting practicalities, and general knowledge on LLM basics. It also includes planned articles on automated benchmarks, evaluation importance, task-building considerations, and model comparison challenges. The resource is enriched with recommended links and acknowledgments to contributors and inspirations.

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.

LLamaTuner is a repository for the Efficient Finetuning of Quantized LLMs project, focusing on building and sharing instruction-following Chinese baichuan-7b/LLaMA/Pythia/GLM model tuning methods. The project enables training on a single Nvidia RTX-2080TI and RTX-3090 for multi-round chatbot training. It utilizes bitsandbytes for quantization and is integrated with Huggingface's PEFT and transformers libraries. The repository supports various models, training approaches, and datasets for supervised fine-tuning, LoRA, QLoRA, and more. It also provides tools for data preprocessing and offers models in the Hugging Face model hub for inference and finetuning. The project is licensed under Apache 2.0 and acknowledges contributions from various open-source contributors.

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.

BrowserGym is an open, easy-to-use, and extensible framework designed to accelerate web agent research. It provides benchmarks like MiniWoB, WebArena, VisualWebArena, WorkArena, AssistantBench, and WebLINX. Users can design new web benchmarks by inheriting the AbstractBrowserTask class. The tool allows users to install different packages for core functionalities, experiments, and specific benchmarks. It supports the development setup and offers boilerplate code for running agents on various tasks. BrowserGym is not a consumer product and should be used with caution.

The 'Awesome LLMs Planning Reasoning' repository is a curated collection focusing on exploring the capabilities of Large Language Models (LLMs) in planning and reasoning tasks. It includes research papers, code repositories, and benchmarks that delve into innovative techniques, reasoning limitations, and standardized evaluations related to LLMs' performance in complex cognitive tasks. The repository serves as a comprehensive resource for researchers, developers, and enthusiasts interested in understanding the advancements and challenges in leveraging LLMs for planning and reasoning in real-world scenarios.

CareGPT is a medical large language model (LLM) that explores medical data, training, and deployment related research work. It integrates resources, open-source models, rich data, and efficient deployment methods. It supports various medical tasks, including patient diagnosis, medical dialogue, and medical knowledge integration. The model has been fine-tuned on diverse medical datasets to enhance its performance in the healthcare domain.

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.

XTuner is an efficient, flexible, and full-featured toolkit for fine-tuning large models. It supports various LLMs (InternLM, Mixtral-8x7B, Llama 2, ChatGLM, Qwen, Baichuan, ...), VLMs (LLaVA), and various training algorithms (QLoRA, LoRA, full-parameter fine-tune). XTuner also provides tools for chatting with pretrained / fine-tuned LLMs and deploying fine-tuned LLMs with any other framework, such as LMDeploy.

InternLM is a powerful language model series with features such as 200K context window for long-context tasks, outstanding comprehensive performance in reasoning, math, code, chat experience, instruction following, and creative writing, code interpreter & data analysis capabilities, and stronger tool utilization capabilities. It offers models in sizes of 7B and 20B, suitable for research and complex scenarios. The models are recommended for various applications and exhibit better performance than previous generations. InternLM models may match or surpass other open-source models like ChatGPT. The tool has been evaluated on various datasets and has shown superior performance in multiple tasks. It requires Python >= 3.8, PyTorch >= 1.12.0, and Transformers >= 4.34 for usage. InternLM can be used for tasks like chat, agent applications, fine-tuning, deployment, and long-context inference.

Awesome-llm-role-playing-with-persona is a curated list of resources for large language models for role-playing with assigned personas. It includes papers and resources related to persona-based dialogue systems, personalized response generation, psychology of LLMs, biases in LLMs, and more. The repository aims to provide a comprehensive collection of research papers and tools for exploring role-playing abilities of large language models in various contexts.

OpenRL is an open-source general reinforcement learning research framework that supports training for various tasks such as single-agent, multi-agent, offline RL, self-play, and natural language. Developed based on PyTorch, the goal of OpenRL is to provide a simple-to-use, flexible, efficient and sustainable platform for the reinforcement learning research community. It supports a universal interface for all tasks/environments, single-agent and multi-agent tasks, offline RL training with expert dataset, self-play training, reinforcement learning training for natural language tasks, DeepSpeed, Arena for evaluation, importing models and datasets from Hugging Face, user-defined environments, models, and datasets, gymnasium environments, callbacks, visualization tools, unit testing, and code coverage testing. It also supports various algorithms like PPO, DQN, SAC, and environments like Gymnasium, MuJoCo, Atari, and more.

Awesome LLM Strawberry is a collection of research papers and blogs related to OpenAI Strawberry(o1) and Reasoning. The repository is continuously updated to track the frontier of LLM Reasoning.

SwiftSage is a tool designed for conducting experiments in the field of machine learning and artificial intelligence. It provides a platform for researchers and developers to implement and test various algorithms and models. The tool is particularly useful for exploring new ideas and conducting experiments in a controlled environment. SwiftSage aims to streamline the process of developing and testing machine learning models, making it easier for users to iterate on their ideas and achieve better results. With its user-friendly interface and powerful features, SwiftSage is a valuable tool for anyone working in the field of AI and ML.

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Ti aiuto a conoscere soluzioni per il settore HR legate alla Gamification e agli Assessment Game

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Office Team Building fun: Innovative team-building app for engaging, collaborative office activities, fun and games.

Reword: Your advanced text revison ally for your everyday writing! Simply ask Reword to reword your text, then paste your text into Reword's input field. Reword your written copy, emails, papers, text messages, and much more!

Advises on employee compensation and benefits strategies.

Amazon product shopping search, conveniently query products, get discounts and discounted products more quickly.

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Decision Journal can help you with decision making, keeping track of the decisions you've made, and helping you review them later on.

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