Best AI tools for< Improve Terms >

Gynger is an AI-powered payments platform with embedded financing designed for buyers and sellers of technology. It provides a line of credit and debt financing to help businesses pay their software and technology bills upfront while paying back later. Gynger simplifies the procurement process, improves cash flow, and offers flexible payment plans for tech expenses.

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

Tamarack is a technology company specializing in equipment finance, offering AI-powered applications and data-centric technologies to enhance operational efficiency and business performance. They provide a range of solutions, from business intelligence to professional services, tailored for the equipment finance industry. Tamarack's AI Predictors and DataConsole are designed to streamline workflows and improve outcomes for stakeholders. With a focus on innovation and customer experience, Tamarack aims to empower clients with online functionality and predictive analytics. Their expertise spans from origination to portfolio management, delivering industry-specific solutions for better performance.

AI Tools Arena is a comprehensive platform offering a curated list of AI tools for various industries and purposes. It serves as a valuable resource for individuals and businesses looking to leverage artificial intelligence technology to enhance productivity and efficiency. The website features a glossary of 170 AI terms, blog posts, learning labs, and a dictionary. With a focus on AI automation, business, chatbot development, copywriting, education, entertainment, finance, marketing, image editing, and more, AI Tools Arena caters to a wide range of needs and interests in the AI domain.

VocaBuddy is a vocabulary-building application designed to help users enhance their language skills. The app allows users to store and practice their vocabulary in an interactive and engaging way. With features like random word generation and building vocabulary from ticked words, VocaBuddy aims to make learning new words fun and effective. The app is user-friendly and suitable for language learners of all levels.

DQLabs is a modern data quality platform that leverages observability to deliver reliable and accurate data for better business outcomes. It combines the power of Data Quality and Data Observability to enable data producers, consumers, and leaders to achieve decentralized data ownership and turn data into action faster, easier, and more collaboratively. The platform offers features such as data observability, remediation-centric data relevance, decentralized data ownership, enhanced data collaboration, and AI/ML-enabled semantic data discovery.

Kavida is an AI-powered post PO automation solution for procurement that ensures manufacturers never miss critical orders from suppliers. It coordinates with suppliers, expedites orders, and prevents costly delays. Kavida optimizes inventory, reduces time spent on supplier coordination, and unlocks rapid cash flow by automating PO changes, confirmations, and document management. It offers real-time supply monitoring, early risk detection, and better PO coordination with suppliers. Kavida is a trusted solution used by leading manufacturers across various industries.

Exante is an AI-powered contract intelligence platform that offers a single source of truth for organizations' contracts. It revolutionizes contract handling by providing centralized, secure storage, AI-powered extraction and organization of unstructured data, real-time visibility, user-friendly reporting, and collaboration tools. The platform aims to streamline processes, reduce risks, and improve compliance for efficient contract management. Exante delivers tangible value by automating data extraction, reducing costs, improving accuracy, reinforcing compliance, enhancing accessibility, and providing actionable insights.

The Biotech Newswire is a specialized PR distribution service for the life science and biotech industry. With over 20 years of experience, it offers unparalleled media coverage and engagement through meaningful post-release reports. Founded by Dr. Sabine Duntze, a PR expert with a strong life science background, the service enhances press releases for AI-based searches using MeSH terms and ChatGPT. It provides cost-effective and service-oriented solutions with fast email response times, proofreading, and consulting.

TextMine is an AI-powered knowledge base that helps businesses analyze, manage, and search thousands of documents. It uses AI to analyze unstructured textual data and document databases, automatically retrieving key terms to help users make informed decisions. TextMine's features include a document vault for storing and managing documents, a categorization system for organizing documents, and a data extraction tool for extracting insights from documents. TextMine can help businesses save time, money, and improve efficiency by automating manual data entry and information retrieval tasks.

Locus is a free browser extension that uses natural language processing to help users quickly find information on any web page. It allows users to search for specific terms or concepts using natural language queries, and then instantly jumps to the relevant section of the page. Locus also integrates with AI-powered tools such as GPT-3.5 to provide additional functionality, such as summarizing text and generating code. With Locus, users can save time and improve their productivity when reading and researching online.

Legal Robot is a legal technology company that provides automated legal analysis and compliance tools. Its products include Contract Analytics, Legal Simplifier, and Compliance Tools. Contract Analytics automatically extracts key terms and finds problems with legal style, definitions, and risky language. Legal Simplifier translates legalese into plain language to improve comprehension and accessibility. Compliance Tools helps businesses manage GDPR and DMCA requests, monitor website legal terms, and more. Legal Robot's mission is to make legal analysis and compliance easier and more accessible for everyone.

Genspark is an AI-powered platform that offers users the ability to create Sparkpages, a new form of webpage with a built-in AI copilot. The platform aims to save time and improve results by providing users with the option to freely chat and ask questions while creating their Sparkpages. With a focus on user privacy and adherence to terms, Genspark is designed to enhance the user experience and streamline the webpage creation process.

Atlassian Marketplace is a platform that offers a wide range of apps for Atlassian products, providing users with the opportunity to enhance their experience and productivity. Users can explore various categories of apps, including those related to artificial intelligence, charts and diagrams, design tools, and archived apps. The platform also emphasizes privacy and offers detailed terms of use. By using cookies, Atlassian aims to improve user experience, conduct analytics and research, and personalize advertising. Users have the option to manage their cookie preferences for a more tailored browsing experience.

Butterflies.ai is an AI-powered platform that enhances team collaboration and productivity. It leverages artificial intelligence to provide personalized coaching and insights to help individuals and teams improve their communication skills and work dynamics. By analyzing interactions and feedback, Butterflies.ai offers actionable recommendations for professional growth and development. The platform aims to foster a positive and inclusive work environment by promoting effective communication and fostering strong relationships among team members.

EXCELR8 is an AI-infused platform designed to help leaders and teams improve performance and retention to empower sustainable growth. It offers a range of tools and features such as performance and engagement surveys, AI-powered insights and data analysis, tailored learning and development, goals and action planning dashboards, and performance and retention management systems. The platform provides clear and actionable data, specific recommendations for immediate implementation, and personalized development opportunities. EXCELR8 aims to revolutionize the way organizations build and retain high-performance teams by leveraging AI technology and science-backed tools.

Salesify is an AI-driven sales coaching tool designed to help sales teams improve their win rates and revenue by providing actionable insights and personalized coaching. The tool leverages AI technology to analyze sales calls, meetings, and customer interactions to identify areas for improvement and optimize the sales process. With features such as speech and language analysis, engagement tracking, and action item identification, Salesify aims to revolutionize sales coaching and drive growth for businesses.

Attention is an AI-powered sales tool that helps sales teams improve their performance. It provides real-time coaching, insights, and automation to help reps close more deals and increase revenue. Attention integrates with your existing CRM and sales tools, making it easy to get started and see results.

Hyperbound is an AI Sales Role-Play & Upskilling Platform designed to help sales teams improve their skills through realistic AI roleplays. It allows users to practice cold, warm, discovery, and post-sales calls with AI buyers customized for their target persona. The platform has received high ratings and positive feedback from sales professionals globally, offering interactive demos and no credit card required for booking a demo.

Letterdrop is a platform designed to help B2B GTM teams improve their sales and marketing efforts by providing resources, playbooks, and guides. It enables users to create thought leadership content, automate outbound prospecting, and engage with buyers on LinkedIn. Letterdrop aims to streamline social selling, prospecting, and demand generation activities to help users build trust with buyers and increase meeting bookings.

Mortal (凡夫) is a free and open source AI for Japanese mahjong, powered by deep reinforcement learning. It provides a comprehensive solution for playing Japanese mahjong with AI assistance. The project focuses on utilizing deep reinforcement learning techniques to enhance gameplay and decision-making in Japanese mahjong. Mortal offers a user-friendly interface and detailed documentation to assist users in understanding and utilizing the AI effectively. The project is actively maintained and welcomes contributions from the community to further improve the AI's capabilities and performance.

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.

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.

fAIr is an open AI-assisted mapping service developed by the Humanitarian OpenStreetMap Team (HOT) to improve mapping efficiency and accuracy for humanitarian purposes. It uses AI models, specifically computer vision techniques, to detect objects like buildings, roads, waterways, and trees from satellite and UAV imagery. The service allows OSM community members to create and train their own AI models for mapping in their region of interest and ensures models are relevant to local communities. Constant feedback loop with local communities helps eliminate model biases and improve model accuracy.

This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.

ML-AI-2-LT is a repository that serves as a glossary for machine learning and deep learning concepts. It contains translations and explanations of various terms related to artificial intelligence, including definitions and notes. Users can contribute by filling issues for unclear concepts or by submitting pull requests with suggestions or additions. The repository aims to provide a comprehensive resource for understanding key terminology in the field of AI and machine learning.

SuperSonic is a next-generation BI platform that integrates Chat BI (powered by LLM) and Headless BI (powered by semantic layer) paradigms. This integration ensures that Chat BI has access to the same curated and governed semantic data models as traditional BI. Furthermore, the implementation of both paradigms benefits from the integration: * Chat BI's Text2SQL gets augmented with context-retrieval from semantic models. * Headless BI's query interface gets extended with natural language API. SuperSonic provides a Chat BI interface that empowers users to query data using natural language and visualize the results with suitable charts. To enable such experience, the only thing necessary is to build logical semantic models (definition of metric/dimension/tag, along with their meaning and relationships) through a Headless BI interface. Meanwhile, SuperSonic is designed to be extensible and composable, allowing custom implementations to be added and configured with Java SPI. The integration of Chat BI and Headless BI has the potential to enhance the Text2SQL generation in two dimensions: 1. Incorporate data semantics (such as business terms, column values, etc.) into the prompt, enabling LLM to better understand the semantics and reduce hallucination. 2. Offload the generation of advanced SQL syntax (such as join, formula, etc.) from LLM to the semantic layer to reduce complexity. With these ideas in mind, we develop SuperSonic as a practical reference implementation and use it to power our real-world products. Additionally, to facilitate further development we decide to open source SuperSonic as an extensible framework.

Wingman AI allows you to use your voice to talk to various AI providers and LLMs, process your conversations, and ultimately trigger actions such as pressing buttons or reading answers. Our _Wingmen_ are like characters and your interface to this world, and you can easily control their behavior and characteristics, even if you're not a developer. AI is complex and it scares people. It's also **not just ChatGPT**. We want to make it as easy as possible for you to get started. That's what _Wingman AI_ is all about. It's a **framework** that allows you to build your own Wingmen and use them in your games and programs. The idea is simple, but the possibilities are endless. For example, you could: * **Role play** with an AI while playing for more immersion. Have air traffic control (ATC) in _Star Citizen_ or _Flight Simulator_. Talk to Shadowheart in Baldur's Gate 3 and have her respond in her own (cloned) voice. * Get live data such as trade information, build guides, or wiki content and have it read to you in-game by a _character_ and voice you control. * Execute keystrokes in games/applications and create complex macros. Trigger them in natural conversations with **no need for exact phrases.** The AI understands the context of your dialog and is quite _smart_ in recognizing your intent. Say _"It's raining! I can't see a thing!"_ and have it trigger a command you simply named _WipeVisors_. * Automate tasks on your computer * improve accessibility * ... and much more

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project caches pre-generated model results to reduce response time for similar requests and enhance user experience. It integrates various embedding frameworks and local storage options, offering functionalities like cache-writing, cache-querying, and cache-clearing through RESTful API. The tool supports multi-tenancy, system commands, and multi-turn dialogue, with features for data isolation, database management, and model loading schemes. Future developments include data isolation based on hyperparameters, enhanced system prompt partitioning storage, and more versatile embedding models and similarity evaluation algorithms.

LLaMa2lang is a repository containing convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language that isn't English. The repository aims to improve the performance of LLaMa3 for non-English languages by combining fine-tuning with RAG. Users can translate datasets, extract threads, turn threads into prompts, and finetune models using QLoRA and PEFT. Additionally, the repository supports translation models like OPUS, M2M, MADLAD, and base datasets like OASST1 and OASST2. The process involves loading datasets, translating them, combining checkpoints, and running inference using the newly trained model. The repository also provides benchmarking scripts to choose the right translation model for a target language.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project facilitates sharing and exchanging technologies related to large model semantic cache through open-source collaboration.

Topaz DeNoise AI is a powerful tool designed for photographers and videographers to enhance image quality by reducing noise while preserving detail. It leverages advanced AI algorithms to clean up images, providing stunning results without sacrificing clarity. With features like AI-powered noise reduction, detail preservation, batch processing, and a user-friendly interface, users can easily improve the quality of their visuals. The tool offers a seamless workflow from downloading and installing the software to uploading images and applying noise reduction. Additionally, it provides documentation, contribution guidelines, and emphasizes security and responsible use.

The TiDB Documentation repository contains the source files for TiDB Docs in English and Chinese. Users can contribute by creating issues or pull requests to improve the documentation. It also provides guidance on customizing and generating PDF versions of the documentation. The repository maintains various versions of TiDB documentation in different branches, including development milestone releases and long-term support versions. Contributors can refer to the Contributing Guide to become a part of the project. The documentation is licensed under CC BY-SA 3.0.

MindsDB is a platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. MindsDB "enhances" SQL syntax with AI capabilities to make it accessible for developers worldwide. With MindsDB’s nearly 200 integrations, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time.

Auto Playwright is a tool that allows users to run Playwright tests using AI. It eliminates the need for selectors by determining actions at runtime based on plain-text instructions. Users can automate complex scenarios, write tests concurrently with or before functionality development, and benefit from rapid test creation. The tool supports various Playwright actions and offers additional options for debugging and customization. It uses HTML sanitization to reduce costs and improve text quality when interacting with the OpenAI API.

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

Recognize is a smart media tagging tool for Nextcloud that automatically categorizes photos and music by recognizing faces, animals, landscapes, food, vehicles, buildings, landmarks, monuments, music genres, and human actions in videos. It uses pre-trained models for object detection, landmark recognition, face comparison, music genre classification, and video classification. The tool ensures privacy by processing images locally without sending data to cloud providers. However, it cannot process end-to-end encrypted files. Recognize is rated positively for ethical AI practices in terms of open-source software, freely available models, and training data transparency, except for music genre recognition due to limited access to training data.

Denser Retriever is an enterprise-grade AI retriever designed to streamline AI integration into applications, combining keyword-based searches, vector databases, and machine learning rerankers using xgboost. It provides state-of-the-art accuracy on MTEB Retrieval benchmarking and supports various heterogeneous retrievers for end-to-end applications like chatbots and semantic search.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

Promptbook is a library designed to build responsible, controlled, and transparent applications on top of large language models (LLMs). It helps users overcome limitations of LLMs like hallucinations, off-topic responses, and poor quality output by offering features such as fine-tuning models, prompt-engineering, and orchestrating multiple prompts in a pipeline. The library separates concerns, establishes a common format for prompt business logic, and handles low-level details like model selection and context size. It also provides tools for pipeline execution, caching, fine-tuning, anomaly detection, and versioning. Promptbook supports advanced techniques like Retrieval-Augmented Generation (RAG) and knowledge utilization to enhance output quality.

Analyzes PDF text for errors and varied term usage

Create a Frequently Asked Questions GPT to ask and answer questions in full markdown based on keywords, a blog article, relevant article or important terms.

用大众化语言讲授《资治通鉴》智慧的股票销售讲师。

I guide you through sentence difficulties.

I teach Japanese through Teresa Teng's songs, with patience and kindness.

Your Expert in Microsoft Teams Communication Analysis

Evaluates your long-term market position based on value offered and uniqueness against competitors.

Aide for PMs, PIM & content teams.

Help your essay get 0% rate! Will not add strange expression to you essay! Will not change the professional terminology you used in the essay! Reducing Turnitin similarity scores. 论文润色、论文降重、Ai率0%

Reflective journaling and time management, but on a practical actionable level, translating your long-term goals and happiness into daily actionable changes. No theoretical stuff, just practical approach to quickly enhance your daily choices on how you spend your time.

Navigate ADHD challenges with MindFit, your bilingual AI coach. Tailored strategies for focus, organization, and productivity in both English and Spanish. Whether it's managing daily tasks or long-term goals, MindFit provides practical, personalized support for a balanced life.

To master Unified Communications Data across platforms like Cisco, Avaya, Mitel, and Microsoft Teams, by orchestrating a team of expert agents and providing actionable solutions.

繁體中文及台灣用語的 ArchiCAD 糾正專家

Optimizes product designs for improved functionality and user experience.

Guiding engineering managers with insights on team dynamics, development, and evaluations.

Advisor on Hybrid Work Environment Strategies

Insightful advisor on interpersonal dynamics.

Tech-savvy manager for computer-based problem-solving.

Tips, guides og anbefalinger til hvordan du bygger digitale produkter. Baseret på Anders Schäffner's noter og udgivelser

Professional, accessible mentor to help leaders elevate experiences, particularly in enabling functions.