Best AI tools for< Build Trustworthy Ai >

The OECD Artificial Intelligence Policy Observatory, also known as OECD.AI, is a platform that focuses on AI policy issues, risks, and accountability. It provides resources, tools, and metrics to build and deploy trustworthy AI systems. The platform aims to promote innovative and trustworthy AI through collaboration with countries, stakeholders, experts, and partners. Users can access information on AI incidents, AI principles, policy areas, publications, and videos related to AI. OECD.AI emphasizes the importance of data privacy, generative AI management, AI computing capacities, and AI's potential futures.

The website is a platform dedicated to AI for Good, focusing on advancing trustworthy AI for sustainable development. It provides information on AI events, skills, standards, governance, and initiatives related to AI for sustainable development. The platform aims to bring diverse voices together to harness AI's potential for inclusive and sustainable development worldwide.

Trustworthy AI is a business guide that focuses on navigating trust and ethics in artificial intelligence. Authored by Beena Ammanath, a global thought leader in AI ethics, the book provides practical guidelines for organizations developing or using AI solutions. It addresses the importance of AI systems adhering to social norms and ethics, making fair decisions in a consistent, transparent, explainable, and unbiased manner. Trustworthy AI offers readers a structured approach to thinking about AI ethics and trust, emphasizing the need for ethical considerations in the rapidly evolving landscape of AI technology.

Pecan AI is a predictive analytics software product designed for business and data analysts. It offers blazing-fast predictions, seamless integrations, and requires no machine learning experience. Pecan empowers teams to succeed with impactful AI models, automates data preparation, and features a Predictive Chat, Predictive Notebook, and guided or DIY predictive modeling tools. The platform helps users build trustworthy predictive models, optimize campaigns, and make data-driven decisions to drive business growth.

Hebbia is an AI tool designed to help users collaborate with AI agents more confidently over all the documents that matter. It offers Matrix agents that can handle questions about millions of documents at a time, executing workflows with hundreds of steps. Hebbia is known for its Trustworthy AI approach, showing its work at each step to build user trust. The tool is used by top enterprises, financial institutions, governments, and law firms worldwide, saving users time and making them more efficient in their work.

The Research Center Trustworthy Data Science and Security is a hub for interdisciplinary research focusing on building trust in artificial intelligence, machine learning, and cyber security. The center aims to develop trustworthy intelligent systems through research in trustworthy data analytics, explainable machine learning, and privacy-aware algorithms. By addressing the intersection of technological progress and social acceptance, the center seeks to enable private citizens to understand and trust technology in safety-critical applications.

Wizenoze is an AI-powered educational content delivery platform that provides educators, publishers, and platform providers with access to a vast library of curated educational content. The platform uses AI to match content to any curriculum, making it easy for educators to find and deliver the most relevant and engaging content to their students. Wizenoze also offers a range of tools and services to help educators create and share their own content, and to track student progress and engagement.

Motific.ai is a responsible GenAI tool powered by data at scale. It offers a fully managed service with natural language compliance and security guardrails, an intelligence service, and an enterprise data-powered, end-to-end retrieval augmented generation (RAG) service. Users can rapidly deliver trustworthy GenAI assistants and API endpoints, configure assistants with organization's data, optimize performance, and connect with top GenAI model providers. Motific.ai enables users to create custom knowledge bases, connect to various data sources, and ensure responsible AI practices. It supports English language only and offers insights on usage, time savings, and model optimization.

MIRI (Machine Intelligence Research Institute) is a non-profit research organization dedicated to ensuring that artificial intelligence has a positive impact on humanity. MIRI conducts foundational mathematical research on topics such as decision theory, game theory, and reinforcement learning, with the goal of developing new insights into how to build safe and beneficial AI systems.

Appen is a leading provider of high-quality data for training AI models. The company's end-to-end platform, flexible services, and deep expertise ensure the delivery of high-quality, diverse data that is crucial for building foundation models and enterprise-ready AI applications. Appen has been providing high-quality datasets that power the world's leading AI models for decades. The company's services enable it to prepare data at scale, meeting the demands of even the most ambitious AI projects. Appen also provides enterprises with software to collect, curate, fine-tune, and monitor traditionally human-driven tasks, creating massive efficiencies through a trustworthy, traceable process.

Coach is an AI-powered career development platform designed for learners, job seekers, and career shifters. It offers personalized career guidance, resources for skills development, and assistance in exploring various career paths. Built by CareerVillage and a coalition of educators and nonprofits, Coach aims to provide trustworthy AI career advising and support for individuals at every stage of their career journey.

GC AI is an AI tool designed for in-house legal teams, offering features such as legal prompting, real-time web research, and exact quote generation. It provides accurate outputs for legal use cases based on feedback from in-house lawyers and uses trustworthy legal sources for information. The tool is built by a 3x General Counsel and former Morrison & Foerster litigator, ensuring confidentiality, security, and compliance with California Bar AI guidance.

Twig AI is an AI tool designed for Customer Experience, offering an AI assistant that resolves customer issues instantly, supporting both users and support agents 24/7. It provides features like converting user requests into API calls, instant responses for user questions, and factual answers cited with trustworthy sources. Twig simplifies data retrieval from external sources, offers personalization options, and includes a built-in knowledge base. The tool aims to drive agent productivity, provide insights to monitor customer experience, and offers various application interfaces for different user roles.

Build Club is a leading training campus for AI learners, experts, and builders. It offers a platform where individuals can upskill into AI careers, get certified by top AI companies, learn the latest AI tools, and earn money by solving real problems. The community at Build Club consists of AI learners, engineers, consultants, and founders who collaborate on cutting-edge AI projects. The platform provides challenges, support, and resources to help individuals build AI projects and advance their skills in the field.

This is a unified DevOps platform to build AI applications. It provides a comprehensive set of tools and services to help developers build, deploy, and manage AI applications. The platform includes a variety of features such as a code editor, a debugger, a profiler, and a deployment manager. It also provides access to a variety of AI services, such as natural language processing, machine learning, and computer vision.

Build Chatbot is a no-code chatbot builder designed to simplify the process of creating chatbots. It enables users to build their chatbot without any coding knowledge, auto-train it with personalized content, and get the chatbot ready with an engaging UI. The platform offers various features to enhance user engagement, provide personalized responses, and streamline communication with website visitors. Build Chatbot aims to save time for both businesses and customers by making information easily accessible and transforming visitors into satisfied customers.

Build Club is an AI tool designed to help individuals learn and explore various aspects of artificial intelligence. The platform offers a wide range of courses, challenges, hackathons, and community projects to enhance users' AI skills. Users can build AI models for tasks like image and video generation, AI marketing, and creating AI agents. Build Club aims to create a collaborative learning environment for AI enthusiasts to grow their knowledge and skills in the field of artificial intelligence.

The website 'What should I build next?' is a platform designed to help developers generate random development project ideas. It serves as the ultimate resource for developers seeking inspiration for their next project. Users can pick components or randomize to generate unique project ideas. The platform also offers a Challenge Mode for added excitement. Additionally, free credits are rewarded to active users daily, ensuring a continuous flow of ideas. The website aims to support developers in overcoming creative blocks and sparking innovation.

GitHub is a collaborative platform for building and shipping software that offers various features such as GitHub Copilot for AI-powered coding assistance, security tools for finding and fixing vulnerabilities, automation of workflows, instant development environments, project management, code review, and collaboration tools. It aims to simplify the software development process and improve developer productivity by leveraging AI technology.

Google Cloud is a suite of cloud computing services that runs on the same infrastructure as Google. Its services include computing, storage, networking, databases, machine learning, and more. Google Cloud is designed to make it easy for businesses to develop and deploy applications in the cloud. It offers a variety of tools and services to help businesses with everything from building and deploying applications to managing their infrastructure. Google Cloud is also committed to sustainability, and it has a number of programs in place to reduce its environmental impact.

AI Agents for Beginners is a course that covers the fundamentals of building AI Agents. It consists of 10 lessons with code examples using Azure AI Foundry and GitHub Model Catalogs. The course utilizes AI Agent frameworks and services from Microsoft, such as Azure AI Agent Service, Semantic Kernel, and AutoGen. Learners can access written lessons, Python code samples, and additional learning resources for each lesson. The course encourages contributions and suggestions from the community and provides multi-language support for learners worldwide.

The AI Enablement Stack is a curated collection of venture-backed companies, tools, and technologies that enable developers to build, deploy, and manage AI applications. It provides a structured view of the AI development ecosystem across five key layers: Agent Consumer Layer, Observability and Governance Layer, Engineering Layer, Intelligence Layer, and Infrastructure Layer. Each layer focuses on specific aspects of AI development, from end-user interaction to model training and deployment. The stack aims to help developers find the right tools for building AI applications faster and more efficiently, assist engineering leaders in making informed decisions about AI infrastructure and tooling, and help organizations understand the AI development landscape to plan technology adoption.

Dioptra is a software test platform for assessing the trustworthy characteristics of artificial intelligence (AI). It supports the NIST AI Risk Management Framework by providing functionality to assess, analyze, and track identified AI risks. Dioptra provides a REST API and can be controlled via a web interface or Python client for designing, managing, executing, and tracking experiments. It aims to be reproducible, traceable, extensible, interoperable, modular, secure, interactive, shareable, and reusable.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

Start Machine Learning in 2024 is a comprehensive guide for beginners to advance in machine learning and artificial intelligence without any prior background. The guide covers various resources such as free online courses, articles, books, and practical tips to become an expert in the field. It emphasizes self-paced learning and provides recommendations for learning paths, including videos, podcasts, and online communities. The guide also includes information on building language models and applications, practicing through Kaggle competitions, and staying updated with the latest news and developments in AI. The goal is to empower individuals with the knowledge and resources to excel in machine learning and AI.

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

Trustworthy AI is a repository from Huawei Noah's Ark Lab containing works related to trustworthy AI. It includes a causal structure learning toolchain, information on causality-related competitions, real-world datasets, and research works on causality such as CausalVAE, GAE, and causal discovery with reinforcement learning.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

Anda is an AI agent framework built with Rust, integrating ICP blockchain and TEE support. It aims to create a network of highly composable, autonomous AI agents across industries to advance artificial intelligence. Key features include composability, simplicity, trustworthiness, autonomy, and perpetual memory. Anda's vision is to build a collaborative network of agents leading to a super AGI system, revolutionizing AI technology applications and creating value for society.

DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents. It aims to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.

This repository is a collection of references to Azure OpenAI, Large Language Models (LLM), and related services and libraries. It provides information on various topics such as RAG, Azure OpenAI, LLM applications, agent design patterns, semantic kernel, prompting, finetuning, challenges & abilities, LLM landscape, surveys & references, AI tools & extensions, datasets, and evaluations. The content covers a wide range of topics related to AI, machine learning, and natural language processing, offering insights into the latest advancements in the field.

CSGHub is an open source, trustworthy large model asset management platform that can assist users in governing the assets involved in the lifecycle of LLM and LLM applications (datasets, model files, codes, etc). With CSGHub, users can perform operations on LLM assets, including uploading, downloading, storing, verifying, and distributing, through Web interface, Git command line, or natural language Chatbot. Meanwhile, the platform provides microservice submodules and standardized OpenAPIs, which could be easily integrated with users' own systems. CSGHub is committed to bringing users an asset management platform that is natively designed for large models and can be deployed On-Premise for fully offline operation. CSGHub offers functionalities similar to a privatized Huggingface(on-premise Huggingface), managing LLM assets in a manner akin to how OpenStack Glance manages virtual machine images, Harbor manages container images, and Sonatype Nexus manages artifacts.

PromptMage simplifies the process of creating and managing LLM workflows as a self-hosted solution. It offers an intuitive interface for prompt testing and comparison, incorporates version control features, and aims to improve productivity in both small teams and large enterprises. The tool bridges the gap in LLM workflow management, empowering developers, researchers, and organizations to make LLM technology more accessible and manageable for the next wave of AI innovations.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

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