Best AI tools for< Articulate Feedback >

Articulate is the world's best creator platform for online workplace learning, offering a comprehensive suite of tools for creating engaging and effective online training content. With features like AI Assistant, Rise, Storyline, and Reach, Articulate provides millions of course assets, prebuilt templates, and easy-to-use creator tools to simplify course creation from start to finish. The platform is loved by customers and industry experts for its ability to increase compliance rates, reduce incidents, and deliver blended learning experiences. Articulate is a one-stop solution for organizations looking to create and deliver online training at scale.

SOAP Note AI is an AI-powered tool designed to generate HIPAA-compliant, fast, and efficient SOAP notes and progress notes for various healthcare specialties such as Telehealth, Physical Therapy, Occupational Therapy, Nursing, Mental Health, SLP, Dentistry, Podiatry, Massage, Acupuncture, Chiropractic, Veterinary, and Pharmacy. The tool helps healthcare professionals convert shorthand notes, audio dictations, AI Scribe session recordings, or telehealth sessions into comprehensive SOAP notes in minutes, reducing daily documentation time. SOAP Note AI is loved by healthcare professionals for its accuracy, time-saving capabilities, and reduction of errors in note-taking. The tool offers specialized SOAP notes for different healthcare professions, ensuring detailed and precise documentation. It also provides features like AI Scribe, Dictation, Telehealth integration, note history access, instant feedback, and various pricing plans to suit different needs.

Voice Crush is an AI-powered recording application designed to enhance audio quality by eliminating background noise and stuttering. It offers a user-friendly interface for individuals looking to improve their voice recordings in challenging acoustic environments. With state-of-the-art denoising AI technology, Voice Crush ensures that your voice stands out clearly in every recording. Whether you are a language learner or a professional seeking to deliver articulate messages, Voice Crush provides the tools to boost your confidence and improve the flow of your voice messages. Say goodbye to noisy backgrounds and stuttering with Voice Crush, your ultimate solution for high-quality audio recordings.

editoReview is a consulting platform and marketplace that helps academic editors and marketing agents to review the AI intelligence at the interface of research articles and service plugins API by consulting with authors and developers. It allows users to start a new review using an AI chat transcript or from a template document, cite the reference paper or app to schedule a consultation meeting with the author or developer, and pay the optional consultation and publish the review transcripts with shareable links.

Murror is an AI mental health assistant designed to help individuals articulate their thoughts and emotions, reflect on their experiences, and broaden their self-view. It offers personalized reflections, insights, and tracking of mental health progress through AI-generated artwork and journal topic identification. Murror ensures privacy and security by encrypting and securing all data, using it only for mental health research purposes. Users can join the waitlist to access early and work together to enhance the product experience.

Interview Coder is an undetectable desktop application designed to assist users in solving coding problems for technical interviews. It features robust undetectability capabilities, detailed solution reasoning, and webcam monitoring. The application provides a platform for capturing coding problems, generating solutions, debugging, and optimizing code. Interview Coder aims to help users articulate their solution approaches convincingly and optimize their coding solutions efficiently.

Brainglue is a conversational AI tool designed for creative professionals to supercharge their strategic thinking and communication. It offers a suite of AI workflows optimized for writing, analysis, research, illustration, and more. Users can chat with AI advisors, access frontier models like GPT-4 and Claude 3, save recurring context in memory docs, and generate images with state-of-the-art models. Brainglue aims to enhance productivity and provide a thoughtful AI experience tailored for knowledge professionals and creative minds.

Articula AI is a cutting-edge speech translation application designed for International Trade. It offers accurate and context-aware live call translation services, allowing users to communicate with suppliers and customers in any language seamlessly. The app leverages AI technology to understand the context of conversations and provide topic-specific translations. Users can speak in their preferred language using an AI voice that mimics their natural tone. Articula AI is compatible with all calling apps commonly used in business settings, making it a versatile tool for cross-border communication.

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.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

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

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

AIR-1 is a compact sensor device designed for monitoring various environmental parameters such as gas levels, particulate matter, temperature, and humidity. It features multiple sensors for detecting gases like CO, alcohol, H2, NO2, NH3, CO2, as well as particulate matter, VOCs, NOx, and more. The device is designed with a focus on accuracy and efficient heat management in a small form factor, making it suitable for indoor air quality monitoring and environmental sensing applications.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

MockingBird is a toolbox designed for Mandarin speech synthesis using PyTorch. It supports multiple datasets such as aidatatang_200zh, magicdata, aishell3, and data_aishell. The toolbox can run on Windows, Linux, and M1 MacOS, providing easy and effective speech synthesis with pretrained encoder/vocoder models. It is webserver ready for remote calling. Users can train their own models or use existing ones for the encoder, synthesizer, and vocoder. The toolbox offers a demo video and detailed setup instructions for installation and model training.

Deep Dive into AI with MLX and PyTorch is an educational initiative focusing on AI, machine learning, and deep learning using Apple's MLX and Meta's PyTorch frameworks. The repository contains comprehensive guides, in-depth analyses, and resources for learning and exploring AI concepts. It aims to cater to audiences ranging from beginners to experienced individuals, providing detailed explanations, examples, and translations between PyTorch and MLX. The project emphasizes open-source contributions, knowledge sharing, and continuous learning in the field of AI.

This repository is part of the Certified Agentic & Robotic AI Engineer program, covering the first quarter of the course work. It focuses on Modern AI Python Programming, emphasizing static typing for robust and scalable AI development. The course includes modules on Python fundamentals, object-oriented programming, advanced Python concepts, AI-assisted Python programming, web application basics with Python, and the future of Python in AI. Upon completion, students will be able to write proficient Modern Python code, apply OOP principles, implement asynchronous programming, utilize AI-powered tools, develop basic web applications, and understand the future directions of Python in AI.

Awesome-AIGC-3D is a curated list of awesome AIGC 3D papers, inspired by awesome-NeRF. It aims to provide a comprehensive overview of the state-of-the-art in AIGC 3D, including papers on text-to-3D generation, 3D scene generation, human avatar generation, and dynamic 3D generation. The repository also includes a list of benchmarks and datasets, talks, companies, and implementations related to AIGC 3D. The description is less than 400 words and provides a concise overview of the repository's content and purpose.

OpenSPG is a knowledge graph engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. It provides explicit semantic representations, logical rule definitions, operator frameworks (construction, inference), and other capabilities for domain knowledge graphs. OpenSPG supports pluggable adaptation of basic engines and algorithmic services by various vendors to build customized solutions.

Instruct2Act is a framework that utilizes Large Language Models to map multi-modal instructions to sequential actions for robotic manipulation tasks. It generates Python programs using the LLM model for perception, planning, and action. The framework leverages foundation models like SAM and CLIP to convert high-level instructions into policy codes, accommodating various instruction modalities and task demands. Instruct2Act has been validated on robotic tasks in tabletop manipulation domains, outperforming learning-based policies in several tasks.

ManipVQA is a framework that enhances Multimodal Large Language Models (MLLMs) with manipulation-centric knowledge through a Visual Question-Answering (VQA) format. It addresses the deficiency of conventional MLLMs in understanding affordances and physical concepts crucial for manipulation tasks. By infusing robotics-specific knowledge, including tool detection, affordance recognition, and physical concept comprehension, ManipVQA improves the performance of robots in manipulation tasks. The framework involves fine-tuning MLLMs with a curated dataset of interactive objects, enabling robots to understand and execute natural language instructions more effectively.

Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy is a research project focusing on addressing the challenge of generalizing language-conditioned robotic policies to new tasks. The project introduces GemBench, a benchmark to evaluate the generalization capabilities of vision-language robotic manipulation policies. It also presents the 3D-LOTUS approach, which leverages rich 3D information for action prediction conditioned on language. Additionally, the project introduces 3D-LOTUS++, a framework that integrates 3D-LOTUS's motion planning capabilities with the task planning capabilities of LLMs and the object grounding accuracy of VLMs to achieve state-of-the-art performance on novel tasks in robotic manipulation.

Habitat-Sim is a high-performance physics-enabled 3D simulator with support for 3D scans of indoor/outdoor spaces, CAD models of spaces and piecewise-rigid objects, configurable sensors, robots described via URDF, and rigid-body mechanics. It prioritizes simulation speed over the breadth of simulation capabilities, achieving several thousand frames per second (FPS) running single-threaded and over 10,000 FPS multi-process on a single GPU when rendering a scene from the Matterport3D dataset. Habitat-Sim simulates a Fetch robot interacting in ReplicaCAD scenes at over 8,000 steps per second (SPS), where each ‘step’ involves rendering 1 RGBD observation (128×128 pixels) and rigid-body dynamics for 1/30sec.

This repository contains the code for HOLD, a method that jointly reconstructs hands and objects from monocular videos without assuming a pre-scanned object template. It can reconstruct 3D geometries of novel objects and hands, enabling template-free bimanual hand-object reconstruction, textureless object interaction with hands, and multiple objects interaction with hands. The repository provides instructions to download in-the-wild videos from HOLD, preprocess and train on custom videos, a volumetric rendering framework, a generalized codebase for single and two hand interaction with objects, a viewer to interact with predictions, and code to evaluate and compare with HOLD in HO3D. The repository also includes documentation for setup, training, evaluation, visualization, preprocessing custom sequences, and using HOLD on ARCTIC.

Awesome-Robotics-3D is a curated list of 3D Vision papers related to Robotics domain, focusing on large models like LLMs/VLMs. It includes papers on Policy Learning, Pretraining, VLM and LLM, Representations, and Simulations, Datasets, and Benchmarks. The repository is maintained by Zubair Irshad and welcomes contributions and suggestions for adding papers. It serves as a valuable resource for researchers and practitioners in the field of Robotics and Computer Vision.

Genesis is a physics platform designed for general purpose Robotics/Embodied AI/Physical AI applications. It includes a universal physics engine, a lightweight, ultra-fast, pythonic, and user-friendly robotics simulation platform, a powerful and fast photo-realistic rendering system, and a generative data engine that transforms user-prompted natural language description into various modalities of data. It aims to lower the barrier to using physics simulations, unify state-of-the-art physics solvers, and minimize human effort in collecting and generating data for robotics and other domains.

A communication expert for articulating empathetic and effective feedback.

Polished, articulate AI for script adaptations.

Articulate, precise mentor employing the Socratic method & Batesonian reasoning to find solution to issues (updated on 10 Jan 24)

British gentleman in dark psychology, provides articulate, strategic advice.

This tool is designed to locate the ideal GPT model tailored to your specific requirements. Simply articulate your needs, and it will diligently work to identify the perfect GPT solution for you.

Articulates E-Learning FAB

A GPT that turns language into engaging visual art.