Best AI tools for< Practice Decision-making >

WTRI is an AI application that offers FutureView™, a suite of tools designed to help individuals and businesses rehearse their future scenarios in a virtual environment. By leveraging cognitive agility assessment, event generation, modeling, and virtual world platforms, WTRI aims to assist users in making agile decisions and adapting to rapidly changing business environments. With a focus on risk management and outcome optimization, WTRI provides a unique approach to strategic planning and preparedness.

Health Imaging is an AI-powered platform that focuses on providing cutting-edge solutions in medical imaging and healthcare management. The platform offers a wide range of features and tools that leverage artificial intelligence to enhance diagnostic accuracy, streamline workflows, and improve patient care. From advanced imaging technologies to AI-based training solutions, Health Imaging is at the forefront of innovation in the healthcare industry.

Medcol.io is a clinical AI assistant designed to support healthcare professionals in making informed decisions by providing evidence-based recommendations and insights. The platform leverages advanced algorithms and medical data analysis to assist in diagnosing diseases, suggesting treatment plans, and predicting patient outcomes. With a user-friendly interface and real-time updates, Medcol.io aims to streamline the clinical decision-making process and improve patient care.

The AIGA AI Governance Framework is a practice-oriented framework for implementing responsible AI. It provides organizations with a systematic approach to AI governance, covering the entire process of AI system development and operations. The framework supports compliance with the upcoming European AI regulation and serves as a practical guide for organizations aiming for more responsible AI practices. It is designed to facilitate the development and deployment of transparent, accountable, fair, and non-maleficent AI systems.

The OECD Observatory of Public Sector Innovation (OPSI) is a website that provides resources and tools to help governments and public servants explore new possibilities for innovation. OPSI's work areas include European Commission Collaboration, Anticipatory Innovation, Cross-Border Government Innovation, Behavioural Insights, Innovative Capacity, Innovation Trends, Innovation Portfolios, Mission-Oriented Innovation, Innovation Management, and Systems Approaches. OPSI also has a number of resources available, including a Toolkit Navigator, Case Study Library, Portfolio Exploration Tool, and Anticipatory Innovation Resource (AIR).

Glass Health is an AI-powered clinical decision support platform that empowers clinicians by providing tools to develop differential diagnoses and draft clinical plans. The platform combines cutting-edge AI technology with evidence-based medical knowledge to streamline diagnostic decisions and optimize clinician workflows. Glass Health's mission is to leverage technology to enhance the practice of medicine, increase diagnostic accuracy, implement evidence-based medicine, promote health equity, and improve patient outcomes globally. The platform is built by clinicians, for clinicians, with a deep commitment to safety, ethics, and alignment.

Microsoft Responsible AI Toolbox is a suite of tools designed to assess, develop, and deploy AI systems in a safe, trustworthy, and ethical manner. It offers integrated tools and functionalities to help operationalize Responsible AI in practice, enabling users to make user-facing decisions faster and easier. The Responsible AI Dashboard provides a customizable experience for model debugging, decision-making, and business actions. With a focus on responsible assessment, the toolbox aims to promote ethical AI practices and transparency in AI development.

Lexicore is an AI tool designed specifically for legal practices. It utilizes advanced artificial intelligence algorithms to streamline and enhance various legal processes. By leveraging natural language processing and machine learning techniques, Lexicore offers efficient solutions for legal professionals to improve their workflow and decision-making. With its user-friendly interface and powerful capabilities, Lexicore aims to revolutionize the legal industry by providing cutting-edge AI technology tailored to meet the unique needs of legal practitioners.

RolePlai is a revolutionary AI-powered chat bot app that features the world's most advanced AI technology, making it feel like you're talking to a real person. This cutting-edge app allows you to instantly create any celebrity, public profile, custom character, and personality with remarkable precision. Dive into the world of interactive roleplay and forge meaningful connections with a diverse range of AI personas, all tailored to your preferences. With advanced communication features like Ai Face & Voice Chat, you can experience lifelike conversations and see your AI personas come to life. Step into the world of "Ai Adventures" and become the main character in an interactive narrative, where your decisions shape the storyline. Discover the magic of AI Art Generation and create captivating visual content. RolePlai utilizes its top-notch AI technology to adapt the storyline on the fly, making every decision consequential and thrilling.

PolygrAI is a digital polygraph powered by AI technology that provides real-time risk assessment and sentiment analysis. The platform meticulously analyzes facial micro-expressions, body language, vocal attributes, and linguistic cues to detect behavioral fluctuations and signs of deception. By combining well-established psychology practices with advanced AI and computer vision detection, PolygrAI offers users actionable insights for decision-making processes across various applications.

Kinaxis is an AI-powered platform that offers end-to-end supply chain orchestration solutions for businesses. It helps companies respond with agility by coordinating all parts of the supply chain using artificial intelligence. With features like transparency, collaboration, adaptability, and intelligence, Kinaxis enables users to make faster, smarter, and more confident decisions. The platform offers solutions for supply chain control tower, S&OP, demand planning, inventory management, scheduling, order management, transportation, and returns management. Kinaxis is designed to streamline operations, improve efficiency, and drive sustainable supply chain practices.

InnovateX is a customizable HR AI software designed to streamline human resources processes through automation and data-driven insights. It offers a range of features to enhance recruitment, employee management, performance evaluation, and more. With InnovateX, organizations can optimize their HR operations, improve decision-making, and boost overall efficiency. The software is user-friendly, scalable, and tailored to meet the unique needs of each organization, making it a valuable tool for modern businesses looking to leverage AI technology in their HR practices.

Quantum Rise is an AI consultancy firm that believes in the power of combining human and machine intelligence to drive growth with AI and automation. They offer AI transformation services, AI for key metrics, and AI due diligence to help businesses adapt to the changing landscape. Quantum Rise focuses on delivering continuous improvement, agile development, and long-lasting results through sustainable and ethical practices. Their team of experts is dedicated to supporting businesses with data, automation, and AI solutions to achieve success in the modern era.

All-In on AI is a comprehensive guide by Tom Davenport and Nitin Mittal that explores how organizations can become AI-fueled to transform their products, processes, strategy, customer relationships, culture, and talent. The book provides insights, strategies, and best practices for adopting AI tools across business processes, driving new offerings and business models, and increasing organization-wide fluency in AI. It offers a rare inside look at leading adopters and equips leaders with the tools to place AI at the core of their organizations.

Skillate is an AI Recruitment Platform that offers advanced decision-making engine to make hiring easy, fast, and transparent. It provides solutions such as AI Powered Matching Engine, Chatbot Screening, Resume Parser, Auto Interview Scheduler, and more to automate and improve the recruitment process. Skillate helps in intelligent hiring, enhancing candidate experience, utilizing people analytics, and promoting diversity and inclusion in recruitment practices.

Big Vision provides consulting services in AI, computer vision, and deep learning. They help businesses build specific AI-driven solutions, create intelligent processes, and establish best practices to reduce human effort and enable faster decision-making. Their enterprise-grade solutions are currently serving millions of requests every month, especially in critical production environments.

Tradingliteracy.com is a website focused on providing resources and information related to trading and financial literacy. The platform aims to educate users on various aspects of trading, investment strategies, and financial markets. Users can access articles, guides, and tools to enhance their understanding of trading practices and improve their financial decision-making skills.

NITG Inc is the world's leading AI quantitative trading platform that combines innovative technologies such as AI, blockchain, and big data analysis to provide intelligent quantitative services. The platform offers efficient and secure trading solutions, automated intelligent trading system, excellent customer support, professional guidance, and top technical team to ensure a stable and reliable trading environment. NITG's AI quantitative trading strategies enable emotion-free decision-making, efficient execution, enhanced risk control capabilities, and adaptability to different market environments. The platform is committed to safeguarding users' funds and data through high-security measures and transparent trading practices.

Futurepedia is a leading AI resource platform dedicated to empowering professionals across various industries to leverage AI technologies for innovation and growth. Our platform offers comprehensive directories, easy-to-follow guides, a weekly newsletter, and an informative YouTube channel, simplifying AI integration into professional practices. Committed to making AI understandable and practical, we provide resources tailored to diverse professional needs, fostering a community where more than 200,000 professionals share knowledge and experiences.

Startify is an AI-powered application designed to assist startup founders in overcoming challenges and making informed decisions. It offers comprehensive solutions by gathering relevant information from standard and latest research sources. With a user-friendly interface, Startify provides expert startup insights, saves time, and promotes smarter work practices. The application aims to streamline the startup journey for entrepreneurs, offering a 7-day trial without the need for credit card information.

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.

Cria is a Python library designed for running Large Language Models with minimal configuration. It provides an easy and concise way to interact with LLMs, offering advanced features such as custom models, streams, message history management, and running multiple models in parallel. Cria simplifies the process of using LLMs by providing a straightforward API that requires only a few lines of code to get started. It also handles model installation automatically, making it efficient and user-friendly for various natural language processing tasks.

Eval-Scope is a framework designed to support the evaluation of large language models (LLMs) by providing pre-configured benchmark datasets, common evaluation metrics, model integration, automatic evaluation for objective questions, complex task evaluation using expert models, reports generation, visualization tools, and model inference performance evaluation. It is lightweight, easy to customize, supports new dataset integration, model hosting on ModelScope, deployment of locally hosted models, and rich evaluation metrics. Eval-Scope also supports various evaluation modes like single mode, pairwise-baseline mode, and pairwise (all) mode, making it suitable for assessing and improving LLMs.

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

Open Data QnA is a Python library that allows users to interact with their PostgreSQL or BigQuery databases in a conversational manner, without needing to write SQL queries. The library leverages Large Language Models (LLMs) to bridge the gap between human language and database queries, enabling users to ask questions in natural language and receive informative responses. It offers features such as conversational querying with multiturn support, table grouping, multi schema/dataset support, SQL generation, query refinement, natural language responses, visualizations, and extensibility. The library is built on a modular design and supports various components like Database Connectors, Vector Stores, and Agents for SQL generation, validation, debugging, descriptions, embeddings, responses, and visualizations.

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, ...

This repository, Awesome-LLM-Survey, serves as a comprehensive collection of surveys related to Large Language Models (LLM). It covers various aspects of LLM, including instruction tuning, human alignment, LLM agents, hallucination, multi-modal capabilities, and more. Researchers are encouraged to contribute by updating information on their papers to benefit the LLM survey community.

This repository is an updating survey for Continual Learning of Large Language Models (CL-LLMs), providing a comprehensive overview of various aspects related to the continual learning of large language models. It covers topics such as continual pre-training, domain-adaptive pre-training, continual fine-tuning, model refinement, model alignment, multimodal LLMs, and miscellaneous aspects. The survey includes a collection of relevant papers, each focusing on different areas within the field of continual learning of large language models.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

Recent LLM (Large Language Models)-based CV and multi-modal works.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

A curated list of Generative AI projects, tools, artworks, and models

This repository provides a comprehensive survey of research papers on large language model (LLM)-based game agents. LLMs are powerful AI models that can understand and generate human language, and they have shown great promise for developing intelligent game agents. This survey covers a wide range of topics, including adventure games, crafting and exploration games, simulation games, competition games, cooperation games, communication games, and action games. For each topic, the survey provides an overview of the state-of-the-art research, as well as a discussion of the challenges and opportunities for future work.

An academic assistant for psychiatrists, creating educational content and practice questions. (Not for use in clinical decision making, verify all information, as model may produce errors)

Simulates medical scenarios for advanced training.

Interactive EMS scenario generator for EMT and paramedic training.

A product scenario simulator for Mid-Level Product Managers to help you improve your product decision-making

I can guide your brainstorming sessions to get creative ideas. I can teach you or explain all brainstorming methods. let's practice creative thinking.

Peter Drucker, the Master Management, known as the 'Father of Modern Management,' was a seminal figure in business management. Drucker authored 39 books, notably 'The Practice of Management' (1954), which established management as a vital organizational function.

Professional advice for healthcare managers

Provides comprehensive guidance on educational standards and assessments.

Personalized Predictions. Amulet Visualization. Esoteric and Spiritual Practices and entertainment. By weaving together various traditions and rituals, I can create complex, multifaceted predictions, offering you a unique perspective on your inquiries.

Expert in management, leadership, and organizational practices.

Your go-to partner for a great 2 person scene.

This GPT will create a practice plan with a given time based on Gold Medal Squared methodology

Crack open the door to your future. (Partner tip: use the iPhone app for voice chat)

Interview with Ami. An AI moderated practice interviewer created by @SprinterviewAi

Learn Linux by Hands-on Labs and AI

4.5 ★ A mock interview is a practice interview, that could be useful while you're looking for a job. This GPT works for any job and any language.

Your friendly English practice partner.

I create detailed random UI design practice prompts.

Expert in orthopaedic practice management and strategy

Expert in guitar techniques and advanced music theory.