Best AI tools for< Track Results >

Dispute AI™ is a credit repair application that leverages Artificial Intelligence to help users fix their credit and increase their credit scores. It automates the process of disputing accounts on all three credit bureaus, provides coaching tutorials, and generates professional letters based on consumer protection laws to effectively remove negative accounts. With Dispute AI™, users can track their results, avoid generic disputes that credit bureaus can reject, and improve their credit scores without the need to hire a credit repair company.

Promoted is an AI-powered platform that simplifies newsletter sponsorships for publishers. It offers features like instant ad creation, easy scheduling, and secure payment processing, all in one place. With Promoted, publishers can connect with advertisers and monetize their newsletters effectively.

Postaga is an AI-powered sales outreach and link building platform that helps businesses connect with the right people and build relationships. With Postaga, you can find the right websites, bloggers, podcasters, and businesses to connect with, and Postaga's AI assistant will help you build personalized outreach campaigns that are more likely to get a response. Postaga also helps you manage your outreach efforts and track your results so that you can continually improve your outreach efforts.

DREAM.page is an AI-driven writing, publishing, and event management platform that helps you create and publish high-quality content, manage your events, and grow your audience. With DREAM.page, you can easily create beautiful websites, landing pages, blog posts, and social media content. You can also use DREAM.page to manage your events, sell tickets, and track your results. DREAM.page is the perfect platform for anyone who wants to create and publish content, manage events, and grow their audience.

The Bazaarvoice affable.ai platform is an AI-driven influencer marketing solution that helps brands find, manage, and measure creator collaborations. It offers a range of features to help brands connect with the right creators, manage campaigns, and track results. The platform includes a database of over 100,000 creators, advanced search filters, campaign management tools, and reporting dashboards.

Mentioned is an application that automates email outreach for your blog. It scans your content to identify people and companies you've mentioned, then sends email campaigns to let them know. Mentioned takes away the manual process of finding contact information, and composing and sending emails to all the people you mention in your content. It's a great way to build relationships with new connections, build brand awareness, and get backlinks.

HOLLYFY is a collaboration platform for content creators and advertisers. It provides a range of services, including a collaboration platform, digital advertising, design and creative, and website development. HOLLYFY uses artificial intelligence to match content creators with brand marketers, making it easy for brands to find and collaborate with the right influencers. HOLLYFY also offers a managed service for advertisers, which takes care of the entire process of finding and managing brand integrations.

Odeist is an AI-powered social media discovery and engagement solution that helps businesses find, engage, and grow their audience on social media. It uses artificial intelligence to analyze social media data and identify the most relevant influencers, content, and conversations for each business. Odeist then provides businesses with the tools they need to engage with these influencers and audiences, and track their results. With Odeist, businesses can save time and effort on social media marketing, and get better results.

Streamr.ai is an advertising platform that makes it easy for businesses to advertise on streaming TV. With Streamr.ai, businesses can create and launch their own commercials in just two minutes, and they can reach a large audience of local customers for just $0.02 per view. Streamr.ai is a great option for businesses of all sizes, and it is especially beneficial for businesses that are looking to reach a local audience.

PropertySimple is an AI-driven real estate marketing and follow-up platform that helps agents automate their social media, listing ads, and lead follow-up. With PropertySimple, agents can save time and effort while increasing their visibility and lead generation. The platform includes features such as automated content creation and scheduling, automagic ads, a CRM with calling, text, and email powered by ChatGPT4, and the ability to claim ZIP codes on the national property portal.

Later is a social media management and influencer marketing platform that helps businesses and individuals manage their social media presence, create and schedule content, and track their results. It offers a range of features, including a visual planner, story scheduling, caption writer, best time to post suggestions, analytics, and more. Later also has a mobile app that allows users to manage their social media on the go.

Storipress is a blog workflow platform that helps businesses scale content creation, profile readers, and personalize outreach. It offers features such as content creation, workflow management, AI-powered writing assistance, and email personalization. Storipress integrates with various tools and platforms, including CMS, social media, and CRM systems. It is designed to help businesses streamline their content operations and improve their marketing and sales efforts.

Blaze is a powerful lead generation and marketing automation platform that helps businesses of all sizes grow their customer base. With Blaze, you can easily create and manage lead capture forms, send automated email campaigns, and track your results in real time. Blaze also offers a variety of integrations with other popular marketing tools, making it easy to connect your data and streamline your marketing efforts.

Mailchimp is an email marketing and automation platform that uses AI to help businesses grow their revenue. It offers a variety of features, including email marketing, website creation, audience management, marketing automation, and reporting and analytics. Mailchimp is easy to use and affordable, making it a great option for businesses of all sizes.

RealNeedsAI is an AI tool designed to help entrepreneurs build successful startups by identifying and validating real user needs from Google searches. By leveraging advanced AI technology, RealNeedsAI provides valuable insights into user needs, enabling users to make informed decisions, launch products with confidence, and increase their chances of success in the market. With features like keyword analysis, data visualization, and integration with popular tools like Ahrefs and Semrush, RealNeedsAI simplifies the process of understanding user needs and building products that cater to those needs.

Lingio is an AI-powered employee training software designed for frontline workers, offering gamified learning experiences and mobile-based training solutions. The platform combines gamification and AI to enhance course completion rates and improve learning outcomes for deskless industries such as hospitality, cleaning, transportation, elderly care, and facility management.

Evalchemy is a unified and easy-to-use toolkit for evaluating language models, focusing on post-trained models. It integrates multiple existing benchmarks such as RepoBench, AlpacaEval, and ZeroEval. Key features include unified installation, parallel evaluation, simplified usage, and results management. Users can run various benchmarks with a consistent command-line interface and track results locally or integrate with a database for systematic tracking and leaderboard submission.

AI Flow is an open-source, user-friendly UI application that empowers you to seamlessly connect multiple AI models together, specifically leveraging the capabilities of multiples AI APIs such as OpenAI, StabilityAI and Replicate. In a nutshell, AI Flow provides a visual platform for crafting and managing AI-driven workflows, thereby facilitating diverse and dynamic AI interactions.

This package provides a collection of datasets for evaluating AI Models in the context of Home Assistant. It includes synthetic data generation, loading data into Home Assistant, model evaluation with different conversation agents, human annotation of results, and visualization of improvements over time. The datasets cover home descriptions, area descriptions, device descriptions, and summaries that can be performed on a home. The tool aims to build datasets for future training purposes.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

Tonic Validate is a framework for the evaluation of LLM outputs, such as Retrieval Augmented Generation (RAG) pipelines. Validate makes it easy to evaluate, track, and monitor your LLM and RAG applications. Validate allows you to evaluate your LLM outputs through the use of our provided metrics which measure everything from answer correctness to LLM hallucination. Additionally, Validate has an optional UI to visualize your evaluation results for easy tracking and monitoring.

PyTorch Lightning is a framework for training and deploying AI models. It provides a high-level API that abstracts away the low-level details of PyTorch, making it easier to write and maintain complex models. Lightning also includes a number of features that make it easy to train and deploy models on multiple GPUs or TPUs, and to track and visualize training progress. PyTorch Lightning is used by a wide range of organizations, including Google, Facebook, and Microsoft. It is also used by researchers at top universities around the world. Here are some of the benefits of using PyTorch Lightning: * **Increased productivity:** Lightning's high-level API makes it easy to write and maintain complex models. This can save you time and effort, and allow you to focus on the research or business problem you're trying to solve. * **Improved performance:** Lightning's optimized training loops and data loading pipelines can help you train models faster and with better performance. * **Easier deployment:** Lightning makes it easy to deploy models to a variety of platforms, including the cloud, on-premises servers, and mobile devices. * **Better reproducibility:** Lightning's logging and visualization tools make it easy to track and reproduce training results.

ChatSim is a tool designed for editable scene simulation for autonomous driving via LLM-Agent collaboration. It provides functionalities for setting up the environment, installing necessary dependencies like McNeRF and Inpainting tools, and preparing data for simulation. Users can train models, simulate scenes, and track trajectories for smoother and more realistic results. The tool integrates with Blender software and offers options for training McNeRF models and McLight's skydome estimation network. It also includes a trajectory tracking module for improved trajectory tracking. ChatSim aims to facilitate the simulation of autonomous driving scenarios with collaborative LLM-Agents.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

AI for Science paper collection is an initiative by AI for Science Community to collect and categorize papers in AI for Science areas by subjects, years, venues, and keywords. The repository contains `.csv` files with paper lists labeled by keys such as `Title`, `Conference`, `Type`, `Application`, `MLTech`, `OpenReviewLink`. It covers top conferences like ICML, NeurIPS, and ICLR. Volunteers can contribute by updating existing `.csv` files or adding new ones for uncovered conferences/years. The initiative aims to track the increasing trend of AI for Science papers and analyze trends in different applications.

GitHub Sentinel is an intelligent information retrieval and high-value content mining AI Agent designed for the era of large models (LLMs). It is aimed at users who need frequent and large-scale information retrieval, especially open source enthusiasts, individual developers, and investors. The main features include subscription management, update retrieval, notification system, report generation, multi-model support, scheduled tasks, graphical interface, containerization, continuous integration, and the ability to track and analyze the latest dynamics of GitHub open source projects and expand to other information channels like Hacker News for comprehensive information mining and analysis capabilities.

pytest-evals is a minimalistic pytest plugin designed to help evaluate the performance of Language Model (LLM) outputs against test cases. It allows users to test and evaluate LLM prompts against multiple cases, track metrics, and integrate easily with pytest, Jupyter notebooks, and CI/CD pipelines. Users can scale up by running tests in parallel with pytest-xdist and asynchronously with pytest-asyncio. The tool focuses on simplifying evaluation processes without the need for complex frameworks, keeping tests and evaluations together, and emphasizing logic over infrastructure.

DVC, or Data Version Control, is a command-line tool and VS Code extension that helps you develop reproducible machine learning projects. With DVC, you can version your data and models, iterate fast with lightweight pipelines, track experiments in your local Git repo, compare any data, code, parameters, model, or performance plots, and share experiments and automatically reproduce anyone's experiment.

Torch-Pruning (TP) is a library for structural pruning that enables pruning for a wide range of deep neural networks. It uses an algorithm called DepGraph to physically remove parameters. The library supports pruning off-the-shelf models from various frameworks and provides benchmarks for reproducing results. It offers high-level pruners, dependency graph for automatic pruning, low-level pruning functions, and supports various importance criteria and modules. Torch-Pruning is compatible with both PyTorch 1.x and 2.x versions.

The Missing Persons 2024 Antifinance Bill Demonstrations Kenya database is an AI-powered platform designed to track and identify individuals who have gone missing during the ongoing protests. It aims to assist in reuniting families by providing a centralized online resource for all Kenyans. The platform allows for crowdsourced information upload, monitoring disappearances, and tracking unidentified bodies to create a comprehensive database. Key features include a user-friendly interface, AI-powered search, real-time updates, secure handling of data, and detailed reporting.

AgentDojo is a dynamic environment designed to evaluate prompt injection attacks and defenses for large language models (LLM) agents. It provides a benchmark script to run different suites and tasks with specified LLM models, defenses, and attacks. The tool is under active development, and users can inspect the results through dedicated documentation pages and the Invariant Benchmark Registry.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

MiniPerplx is a minimalistic AI-powered search engine designed to help users find information on the internet. It utilizes AI technologies from providers like OpenAI, Anthropic, and Tavily to deliver accurate and relevant search results. Users can deploy their own instance of MiniPerplx by obtaining API keys, setting up environment variables, and running the development server. The tool aims to streamline the process of information retrieval by leveraging advanced AI capabilities in a user-friendly interface.

AgentScheduler is an Automatic/Vladmandic Stable Diffusion Web UI extension designed to enhance image generation workflows. It allows users to enqueue prompts, settings, and controlnets, manage queued tasks, prioritize, pause, resume, and delete tasks, view generation results, and more. The extension offers hidden features like queuing checkpoints, editing queued tasks, and custom checkpoint selection. Users can access the functionality through HTTP APIs and API callbacks. Troubleshooting steps are provided for common errors. The extension is compatible with latest versions of A1111 and Vladmandic. It is licensed under Apache License 2.0.

Memobase is a user profile-based memory system designed to enhance Generative AI applications by enabling them to remember, understand, and evolve with users. It provides structured user profiles, scalable profiling, easy integration with existing LLM stacks, batch processing for speed, and is production-ready. Users can manage users, insert data, get memory profiles, and track user preferences and behaviors. Memobase is ideal for applications that require user analysis, tracking, and personalized interactions.

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