Best AI tools for< Improve Agility >

Skillsminer is a Workforce Intelligence Platform that helps businesses bridge the growth gap by unlocking dynamic and scalable workforce potential. The platform utilizes AI technology to provide valuable insights and data to identify, develop, and utilize skills and talent effectively. Skillsminer supports various industries such as utilities, financial sector, education, housing associations, health sector, and government in recruiting hidden talent, maximizing internal mobility, and enhancing career opportunities. The platform aims to help businesses hire smarter, improve workforce agility, and make informed learning and development decisions to drive sustainable growth and business success while optimizing costs.

Cornerstone is an AI-powered workforce agility platform that helps organizations close the workforce readiness gap by providing personalized experiences and deeper insights. It offers modern learning experiences and skills-forward, AI-powered HR technology. The platform ensures regulatory compliance, focuses on skills and talent-driven human capital management, and aims to build a diverse, equitable, and inclusive workplace. Cornerstone caters to various industries such as the public sector, financial services, healthcare, life sciences, manufacturing, higher education, and nonprofit organizations. It offers a range of resources, tools, and tips to empower people at work and prepare them for future trends in the workforce.

Kodus is an AI-powered tool designed for agile project management. It offers automated assistance to team leaders in analyzing team performance, identifying productivity opportunities, and providing improvement suggestions. The tool keeps teams updated on progress, automates management processes, and ensures the integrity of engineering and agility metrics. Kodus aims to help teams unlock their full potential by streamlining processes and enhancing productivity within 90 days.

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.

OpenAI Strawberry Model is a cutting-edge AI initiative that represents a significant leap in AI capabilities, focusing on enhancing reasoning, problem-solving, and complex task execution. It aims to improve AI's ability to handle mathematical problems, programming tasks, and deep research, including long-term planning and action. The project showcases advancements in AI safety and aims to reduce errors in AI responses by generating high-quality synthetic data for training future models. Strawberry is designed to achieve human-like reasoning and is expected to play a crucial role in the development of OpenAI's next major model, codenamed 'Orion.'

Bliro is an AI assistant designed for meetings, offering transcription and AI note-taking services to help users collect important information. It works across all meeting tools, both online and in-person, without the need for bots. Bliro ensures privacy compliance by not recording audio or video, with data processing and hosting on European servers. The tool integrates seamlessly with CRM systems, Slack, and Confluence, providing users with accurate meeting summaries and insights. Bliro is highly praised by customers for its efficiency, organization, and ability to improve customer experience through optimized conversation tracking.

Captain Case Studies is an AI-powered content strategy and lead generation tool designed for agencies to automate content creation, optimization, and lead identification. The tool leverages a no-code AI engine to create engaging content, optimize it with various engagement tools, and identify website visitors in real-time to enhance sales conversion rates. With features like automated content creation, engagement tools, lead identification, and insights tracking, Captain Case Studies streamlines the content marketing process and helps agencies drive more traffic and conversions. The tool is praised by users for its ability to improve conversion rates, drive user engagement, and provide valuable insights for content strategy optimization.

Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.

Swimm is an AI-powered platform that offers fully contextual code understanding. It helps developers to unlock documentation ROI by providing answers to complex questions and preserving vital knowledge about codebases. Swimm integrates seamlessly into the software development lifecycle, improving developer productivity and code quality. The platform offers static analysis of codebases, captures and uses developer knowledge, and provides contextual answers tailored to developer queries. Swimm is designed to modernize and maintain legacy code, making it AI-ready and enabling technology service providers to speed up code discovery.

FluentPal is a language learning application that leverages AI technology to provide users with an immersive foreign language learning experience. The app offers a range of features such as role-playing scenarios, conversations with AI celebrities, custom conversation creation, suggested responses, translation support, error correction, and adjustable AI conversation levels. FluentPal aims to simulate a foreign language environment to enhance communication skills and pronunciation accuracy, making language learning accessible, cost-effective, and beginner-friendly.

Babble AI is a platform that allows users to create chatbots without writing any code. The platform provides a variety of features, including the ability to create personalized conversations, custom development, analytics and reporting, and real-time customer support. Babble AI is designed to help businesses improve their customer experience, generate leads, and accelerate sales.

Wiseone is an all-in-one AI tool that helps users save time, improve productivity, and expand knowledge during web searches and online reading. It offers various features such as multilingual PDF support, focus mode for distraction-free reading, cross-checking for diverse perspectives, simplified answers to complex questions, summarization of key takeaways, and exploration of related articles. Wiseone is highly regarded by users for its ease of use, efficiency, and ability to enhance the overall online reading and search experience.

ShiftX is a collaborative business process tool designed to help organizations optimize operations, ensure compliance, and increase customer satisfaction. It offers a range of features to help users manage processes, including the ability to create visual process maps, assign roles and tasks, and collaborate with colleagues. ShiftX is also committed to security and reliability, with features such as GDPR compliance, encrypted connections, and SAML single sign-on.

SafeSpelling is an AI-powered tool designed to help users write without mistakes. It provides users with the ability to input text and receive corrections for any spelling errors. The tool compares the original text with the corrected text, highlighting mistakes and offering suggestions for improvement. SafeSpelling aims to enhance the writing experience by ensuring that users can produce error-free content effortlessly.

EdrawMind is a mind mapping software that helps users to organize their ideas, collaborate with others, and create presentations. It offers a variety of features, including the ability to create mind maps, timelines, tree charts, and bubble maps. EdrawMind also includes a number of AI-powered features, such as AI One-Click Mind Map Creation, AI SWOT Analysis, and AI Brainstorming. These features can help users to quickly and easily create mind maps, generate creative ideas, and improve their productivity.

ScriptReader.ai is an AI-powered screenplay analysis tool that provides detailed critiques and suggestions for every scene of your screenplay. It offers personalized feedback to help writers improve their scripts and elevate their writing game. With the ability to analyze strengths and weaknesses, provide grades, critiques, and suggestions for improvement on a scene-by-scene basis, ScriptReader.ai aims to help both seasoned screenwriters and beginners enhance their work and create captivating masterpieces.

HeardThat is a smartphone application that leverages AI technology to assist users in hearing speech more clearly in noisy environments. By separating speech from background noise, HeardThat helps individuals with varying levels of hearing ability to participate in conversations with confidence and ease. The app works with existing Bluetooth earbuds or hearing aids, eliminating the need for additional hardware. HeardThat aims to address the common complaint of struggling to hear in noisy settings, ultimately reducing social isolation and improving communication experiences.

The website is a generative AI tool designed for communication professionals. It aims to enhance communication skills by providing users with the ability to listen with intelligence and speak with confidence. The tool offers a unique experience that leverages AI technology to assist users in improving their communication abilities. Users can access features such as speech analysis, language generation, and personalized feedback to enhance their communication skills.

Pitchyouridea.ai is an AI-powered platform designed to help entrepreneurs and business owners improve their pitch skills and increase their chances of success in fundraising and other important presentations. The platform offers users the ability to create a pitch deck in just 3 minutes using their voice, interact with AI experts for feedback, and generate AI-enhanced pitch decks based on their ideas. With a focus on combining human intelligence with artificial intelligence, Pitchyouridea.ai aims to turn words into visual ideas and provide a seamless experience for refining pitches and receiving valuable feedback.

Mindtickle is an AI-powered Sales Enablement & Revenue Productivity Platform designed to help organizations improve sales performance through training, coaching, content management, and analytics. The platform offers a comprehensive suite of tools to enhance sales readiness, optimize sales operations, and drive revenue growth. With features like Conversation Intelligence, Sales Forecasting, Digital Sales Rooms, and Analytics & Dashboards, Mindtickle empowers sales teams to achieve their targets efficiently. The platform is known for its ability to personalize training, increase revenue productivity, and reduce ramp time for new reps, ultimately leading to improved sales outcomes and customer satisfaction.

DistillKit is an open-source research effort by Arcee.AI focusing on model distillation methods for Large Language Models (LLMs). It provides tools for improving model performance and efficiency through logit-based and hidden states-based distillation methods. The tool supports supervised fine-tuning and aims to enhance the adoption of open-source LLM distillation techniques.

Easily integrate Large Language Models into your Python code. Simply use the `@prompt` and `@chatprompt` decorators to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic.

RAG-FiT is a library designed to improve Language Models' ability to use external information by fine-tuning models on specially created RAG-augmented datasets. The library assists in creating training data, training models using parameter-efficient finetuning (PEFT), and evaluating performance using RAG-specific metrics. It is modular, customizable via configuration files, and facilitates fast prototyping and experimentation with various RAG settings and configurations.

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.

RAG Foundry is a library designed to enhance Large Language Models (LLMs) by fine-tuning models on RAG-augmented datasets. It helps create training data, train models using parameter-efficient finetuning (PEFT), and measure performance using RAG-specific metrics. The library is modular, customizable using configuration files, and facilitates prototyping with various RAG settings and configurations for tasks like data processing, retrieval, training, inference, and evaluation.

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.

LLMInterviewQuestions is a repository containing over 100+ interview questions for Large Language Models (LLM) used by top companies like Google, NVIDIA, Meta, Microsoft, and Fortune 500 companies. The questions cover various topics related to LLMs, including prompt engineering, retrieval augmented generation, chunking, embedding models, internal working of vector databases, advanced search algorithms, language models internal working, supervised fine-tuning of LLM, preference alignment, evaluation of LLM system, hallucination control techniques, deployment of LLM, agent-based system, prompt hacking, and miscellaneous topics. The questions are organized into 15 categories to facilitate learning and preparation.

Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath-based interactions which would break whenever the website layouts changed. Instead of only relying on code-defined XPath interactions, Skyvern adds computer vision and LLMs to the mix to parse items in the viewport in real-time, create a plan for interaction and interact with them. This approach gives us a few advantages: 1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code 2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate 3. Skyvern leverages LLMs to reason through interactions to ensure we can cover complex situations. Examples include: 1. If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16 2. If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!) Want to see examples of Skyvern in action? Jump to #real-world-examples-of- skyvern

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

KaTrain is a tool designed for analyzing games and playing go with AI feedback from KataGo. Users can review their games to find costly moves, play against AI with immediate feedback, play against weakened AI versions, and generate focused SGF reviews. The tool provides various features such as previews, tutorials, installation instructions, and configuration options for KataGo. Users can play against AI, receive instant feedback on moves, explore variations, and request in-depth analysis. KaTrain also supports distributed training for contributing to KataGo's strength and training bigger models. The tool offers themes customization, FAQ section, and opportunities for support and contribution through GitHub issues and Discord community.

Athina is an open-source library designed to help engineers improve the reliability and performance of Large Language Models (LLMs) through eval-driven development. It offers plug-and-play preset evals for catching and preventing bad outputs, measuring model performance, running experiments, A/B testing models, detecting regressions, and monitoring production data. Athina provides a solution to the flaws in current LLM developer workflows by offering rapid experimentation, customizable evaluators, integrated dashboard, consistent metrics, historical record tracking, and easy setup. It includes preset evaluators for RAG applications and summarization accuracy, as well as the ability to write custom evals. Athina's evals can run on both development and production environments, providing consistent metrics and removing the need for manual infrastructure setup.

llm-rankers is a repository that provides implementations for Pointwise, Listwise, Pairwise, and Setwise Document Ranking using Large Language Models. It includes various methods for reranking documents retrieved by a first-stage retriever, such as BM25. The repository offers examples and code snippets for using LLMs to improve document ranking performance in information retrieval tasks. Additionally, it introduces a new setwise reranker called Rank-R1 with reasoning ability.

PR-Agent is a tool designed to assist in efficiently reviewing and handling pull requests by providing AI feedback and suggestions. It offers various tools such as Review, Describe, Improve, Ask, Update CHANGELOG, and more, with the ability to run them via different interfaces like CLI, PR Comments, or automatically triggering them when a new PR is opened. The tool supports multiple git platforms and models, emphasizing real-life practical usage and modular, customizable tools.

CodeSpin.AI is a set of open-source code generation tools that leverage large language models (LLMs) to automate coding tasks. With CodeSpin, you can generate code in various programming languages, including Python, JavaScript, Java, and C++, by providing natural language prompts. CodeSpin offers a range of features to enhance code generation, such as custom templates, inline prompting, and the ability to use ChatGPT as an alternative to API keys. Additionally, CodeSpin provides options for regenerating code, executing code in prompt files, and piping data into the LLM for processing. By utilizing CodeSpin, developers can save time and effort in coding tasks, improve code quality, and explore new possibilities in code generation.

BackgroundRemover is a command line tool to remove background from image and video using AI. It requires python >= 3.6, torch, torchvision, and ffmpeg. The tool can be installed via pip or Docker. It offers various options for image and video background removal, including alpha matting and different models. Users can also use it as a library to remove background from images. The project aims to enhance background removal capabilities, improve documentation, add new features like real-time background removal for videos, and provide the ability to use custom models.

Peer-like, CMMI and agile expert, seeks clarifications.

Experte für Agile Methoden inkl. aller Konversationen im Agile Focal Point Podcast.

Chat with this agent to polish your ability to speak with gen alpha or just plain annoy your kids

Assess the level of English

영어 대화, 영어 회화, 영어 학습을 효과적으로 진행할 수 있습니다. 대화를 통해 영어 실력을 단계별로 향상시킬 수 있습니다. ChatGPT 앱의 보이스 기능을 활용하여 발음 연습도 가능하며, 실시간 피드백을 통해 학습 효율을 극대화할 수 있습니다. 영어 학습자의 능력에 맞춰 학습 난이도를 조정하며, 다양한 주제에 대한 대화를 통해 영어 실력을 자연스럽게 향상시킬 수 있습니다.

Gives you tips and suggestions on how you can improve your application for your users.

Upload a screenshot of your Tinder profile to improve it and get feedback

Improve your Ideas with First Principles Thinking

Offers exercises and techniques to improve memory retention and cognitive functions.

Generates conversation examples and chunks for specified situations. Improve your instantaneous conversational skills through repetitive practice!

Improve your physical & mental health

Analyzes customer churn and provides strategies to improve loyalty and retention.

Improve your curriculum telling chatgpt your cv and the desired job

Agile expert providing practical, step-by-step advice with the agile way of working of your team and organisation. Whether you're looking to improve your Agile skills or find solutions to specific problems. Including Scrum, Kanban and SAFe knowledge.

I improve objects with animals.

I improve marketing effectiveness by designing stunning research-led assets in a flash!

Helps improve language skills through interactive scenarios and feedback.

I improve Dutch sentences, explain errors, and give tips.

Bypass Internet censorship & improve your security online

Help you to improve your generative art for use in AI