Best AI tools for< Improve Quality Scores >

Balto is a real-time guidance platform designed for contact centers, powered by AI technology. It offers features such as real-time coaching, QA copilot, notetaking automation, and integrations with various CCaaS systems. Balto aims to improve agent performance, enhance customer experience, ensure compliance, and drive sales growth through behavior change and perfect conversations on every call.

Blobr is an AI tool designed to optimize Google Ads spending by providing real-time insights and best-in-class PPC practices. It maximizes the return on every dollar spent in Google Ads by offering optimization recommendations through AI agents. Users can automate keyword identification, reduce costs, improve ad quality scores, and experiment with control. Trusted by industry leaders, Blobr helps users save time from repetitive tasks and focus on strategy and innovation.

Pitch Patterns is an AI-powered Quality Control platform designed for teams analyzing sales and customer service calls to enhance close rates and CSAT scores. The platform offers innovative features such as Social Skill Markers, Conversation Analysis, and AI Tracking to provide valuable insights and improve agent performance. With integration capabilities with popular CRM systems like Salesforce and Pipedrive, Pitch Patterns aims to revolutionize call center excellence through AI analytics.

ioni.ai is an AI application that offers ChatGPT-4 solution for customer support. It is a smart chatbot based on the latest AI technology, designed to handle general inquiries, complex questions, and user-specific requests. The application streamlines workflow with immediate responses, brings CSAT scores to a new level, and ensures human-in-the-loop verification for quality control. With self-learning capabilities, ioni.ai constantly improves its responses and provides accurate solutions to customer inquiries.

AI Humanizer is an AI tool that helps you bypass AI detection, AI detectors, and AI checkers. It can be used to make your text appear more human-like, which can be useful for a variety of purposes, such as passing AI-generated text filters or improving the quality of your writing. AI Humanizer is easy to use, simply paste your text into the tool and click the "Humanize" button. The tool will then process your text and return a humanized version.

StealthWriter is an AI-powered tool that helps users rewrite AI-generated text into human-like content. It is designed to bypass AI detectors and ensure that the content is plagiarism-free and SEO-friendly. StealthWriter offers a variety of features, including the ability to humanize AI content, bypass AI detectors, generate plagiarism-free content, optimize content for SEO, and provide flawless content quality. It also offers multiple versions of humanized text and allows users to customize the transformed content.

AI Text Humanizer is a free online tool designed to transform AI-generated text into clear and human-like content. It helps users bypass AI detectors and create natural language that is easy to understand for readers and search engines. The tool offers features such as word and character counters, readability score, and the ability to humanize text in over 50 languages. AI Text Humanizer aims to improve the quality and readability of machine-generated content while maintaining the original message and context.

ZapHire is an AI-powered recruitment tool that helps companies find the perfect fit for their teams by ranking, categorizing, and curating candidates based on their skills, experience, and expertise. The tool conducts comprehensive background checks on candidates using data from top channels like Github, Stackoverflow, Twitter, LinkedIn, and ProductHunt. With over 40 million indexed accounts and specialized algorithms, ZapHire provides accurate scores and ranks to help companies confidently choose the best candidate for the job. It offers a large pool of highly qualified candidates, reduces time-to-fill positions, improves candidate quality, and provides cost-effective sourcing. The tool centralizes all channels and social profiles, provides regularly updated insights, and ranks and categorizes profiles to show the most important information.

Everypixel.com is a website that provides image analysis and enhancement tools for photographers, designers, and anyone working with visual content. The platform offers features such as image quality assessment, aesthetic scoring, and photo editing recommendations based on AI algorithms. Users can upload images to receive instant feedback and improve the overall quality of their visual assets. Everypixel.com aims to streamline the creative process and help users achieve professional-looking results with ease.

Shot Rate is an AI-powered e-commerce product image generation tool that helps businesses create high-quality, unique product images for their online stores. With Shot Rate, users can generate unlimited variations of their product images, including different angles, backgrounds, and styles. This can help businesses increase their sales by providing shoppers with more detailed and visually appealing product images.

MaestroQA is a comprehensive Call Center Quality Assurance Software that offers a range of products and features to enhance QA processes. It provides customizable report builders, scorecard builders, calibration workflows, coaching workflows, automated QA workflows, screen capture, accurate transcriptions, root cause analysis, performance dashboards, AI grading assist, analytics, and integrations with various platforms. The platform caters to industries like eCommerce, financial services, gambling, insurance, B2B software, social media, and media, offering solutions for QA managers, team leaders, and executives.

Convin is an omnichannel contact center platform powered by conversation intelligence. It offers a full-stack conversations QA platform for contact centers, AI learning management system for faster agent onboarding, real-time agent assist for improved conversions, automated agent coaching for personalized training, supervisor assist for tracking and assistance, and insights to collect 100% of customer intelligence. The platform also provides automated QA to audit and score customer conversations, analytics for quality management, and a mobile app for on-the-go access. Convin helps businesses in various industries like sales, support, compliance, collection, retention, healthtech, fintech, insurtech, edtech, real estate, hospitality & travel, and BPO to enhance customer interactions and drive revenue.

MagicBlog is an AI-powered blogging platform that helps users generate high-quality, SEO-optimized blog content in just minutes. With MagicBlog, users can create long-form blog posts, articles, and other types of written content without having to spend hours researching and writing. The platform's AI engine uses natural language processing and machine learning to analyze user input and generate unique, plagiarism-free content that is tailored to the user's specific needs and requirements. MagicBlog also offers a range of features to help users improve their writing, including a built-in grammar and spell checker, a plagiarism checker, and a readability score calculator.

Resume Screening AI is an AI application designed to help recruiters, hiring managers, and HR managers screen resumes in bulk efficiently and accurately. By leveraging AI algorithms, the tool automates the screening process, saving time and improving the quality of hire. It offers benefits such as time and cost savings, improved accuracy, enhanced objectivity, and a better candidate experience. The tool uses end-to-end encryption for data security and stores resume file fingerprints and parsed text for easy retrieval. With a focus on optimizing the recruitment process, Resume Screening AI is a transformative solution for businesses looking to attract and identify the most suitable candidates.

HumanizerAI is an advanced AI tool designed to transform AI-generated text into natural human-like content effortlessly. It offers a range of features such as Content Shaping, Multilingual Mastery, Readability Boost, Writing Assistant, and Human Score to enhance the quality and engagement of written content. The tool is equipped to bypass popular AI detectors, ensuring undetectable and authentic material. HumanizerAI caters to a diverse user base, including writers, content creators, marketers, students, educators, and more, providing customizable humanization modes and multilingual support. With a focus on engagement, authenticity, and efficiency, HumanizerAI revolutionizes content creation by bridging the gap between AI-generated text and human emotion.

Humanize AI Text is a free AI humanizer and AI-to-human converter tool that seamlessly transforms AI-generated content into authentic, human-like writing. It offers various modes to enhance content clarity, readability, and engagement. The tool supports multiple languages and provides real-time feedback on the human-like quality of the text. By bridging the gap between AI efficiency and human connection, Humanize AI Text aims to elevate user engagement and bypass AI detectors, making content creation more efficient and effective.

VModel.AI is an AI fashion models generator that revolutionizes on-model photography for fashion retailers. It utilizes artificial intelligence to create high-quality on-model photography without the need for elaborate photoshoots, reducing model photography costs by 90%. The tool helps diversify stores, improve E-commerce engagement, reduce returns, promote diversity and inclusion in fashion, and enhance product offerings.

Voxal AI is an AI-powered chatbot solution designed to enhance sales, customer support, and user engagement on websites. It offers a range of features including multiple AI models, A/B testing, cross-platform compatibility, multilingual support, advanced analytics, customization options, and multi-platform integration. Voxal AI is suitable for various industries such as e-commerce, e-learning, and SaaS, and can be used for tasks such as product recommendations, lead qualification, and automated customer support.

Neurala is a company that provides visual quality inspection software powered by AI. Their software is designed to help manufacturers improve their inspection process by reducing product defects, increasing inspection rates, and preventing production downtime. Neurala's software is flexible and can be easily retrofitted into existing production line infrastructure, without the need for AI experts or expensive capital expenditures. The company's software is used by a variety of manufacturers, including Sony, AITRIOS, and CB Insights.

Upscale.media is an AI-powered image upscaling platform that allows users to enhance the quality of their images for free. With its advanced technology, Upscale.media can upscale images up to 4 times their original resolution while maintaining exceptional clarity and detail. The platform is easy to use and supports a wide range of image formats, including PNG, JPG, JPEG, WEBP, and HEIC. Upscale.media is a valuable tool for individuals and businesses looking to improve the quality of their images for various purposes, such as printing, marketing, and social media.

This leaderboard evaluates the hallucination rate of various Large Language Models (LLMs) when summarizing documents. It uses a model trained by Vectara to detect hallucinations in LLM outputs. The leaderboard includes models from OpenAI, Anthropic, Google, Microsoft, Amazon, and others. The evaluation is based on 831 documents that were summarized by all the models. The leaderboard shows the hallucination rate, factual consistency rate, answer rate, and average summary length for each model.

Cleanlab helps you **clean** data and **lab** els by automatically detecting issues in a ML dataset. To facilitate **machine learning with messy, real-world data** , this data-centric AI package uses your _existing_ models to estimate dataset problems that can be fixed to train even _better_ models.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

Open WebUI Tools Collection is a set of tools for structured planning, arXiv paper search, Hugging Face text-to-image generation, prompt enhancement, and multi-model conversations. It enhances LLM interactions with academic research, image generation, and conversation management. Tools include arXiv Search Tool and Hugging Face Image Generator. Function Pipes like Planner Agent offer autonomous plan generation and execution. Filters like Prompt Enhancer improve prompt quality. Installation and configuration instructions are provided for each tool and pipe.

Reflection-Tuning is a project focused on improving the quality of instruction-tuning data through a reflection-based method. It introduces Selective Reflection-Tuning, where the student model can decide whether to accept the improvements made by the teacher model. The project aims to generate high-quality instruction-response pairs by defining specific criteria for the oracle model to follow and respond to. It also evaluates the efficacy and relevance of instruction-response pairs using the r-IFD metric. The project provides code for reflection and selection processes, along with data and model weights for both V1 and V2 methods.

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.

Advanced RAG Techniques is a comprehensive collection of cutting-edge Retrieval-Augmented Generation (RAG) tutorials aimed at enhancing the accuracy, efficiency, and contextual richness of RAG systems. The repository serves as a hub for state-of-the-art RAG enhancements, comprehensive documentation, practical implementation guidelines, and regular updates with the latest advancements. It covers a wide range of techniques from foundational RAG methods to advanced retrieval methods, iterative and adaptive techniques, evaluation processes, explainability and transparency features, and advanced architectures integrating knowledge graphs and recursive processing.

Use the OpenAI API with Ruby! 🤖🩵 Stream text with GPT-4, transcribe and translate audio with Whisper, or create images with DALL·E... Hire me | 🎮 Ruby AI Builders Discord | 🐦 Twitter | 🧠 Anthropic Gem | 🚂 Midjourney Gem ## Table of Contents * Ruby OpenAI * Table of Contents * Installation * Bundler * Gem install * Usage * Quickstart * With Config * Custom timeout or base URI * Extra Headers per Client * Logging * Errors * Faraday middleware * Azure * Ollama * Counting Tokens * Models * Examples * Chat * Streaming Chat * Vision * JSON Mode * Functions * Edits * Embeddings * Batches * Files * Finetunes * Assistants * Threads and Messages * Runs * Runs involving function tools * Image Generation * DALL·E 2 * DALL·E 3 * Image Edit * Image Variations * Moderations * Whisper * Translate * Transcribe * Speech * Errors * Development * Release * Contributing * License * Code of Conduct

FeedGen is an open-source tool that uses Google Cloud's state-of-the-art Large Language Models (LLMs) to improve product titles, generate more comprehensive descriptions, and fill missing attributes in product feeds. It helps merchants and advertisers surface and fix quality issues in their feeds using Generative AI in a simple and configurable way. The tool relies on GCP's Vertex AI API to provide both zero-shot and few-shot inference capabilities on GCP's foundational LLMs. With few-shot prompting, users can customize the model's responses towards their own data, achieving higher quality and more consistent output. FeedGen is an Apps Script based application that runs as an HTML sidebar in Google Sheets, allowing users to optimize their feeds with ease.

MM-RLHF is a comprehensive project for aligning Multimodal Large Language Models (MLLMs) with human preferences. It includes a high-quality MLLM alignment dataset, a Critique-Based MLLM reward model, a novel alignment algorithm MM-DPO, and benchmarks for reward models and multimodal safety. The dataset covers image understanding, video understanding, and safety-related tasks with model-generated responses and human-annotated scores. The reward model generates critiques of candidate texts before assigning scores for enhanced interpretability. MM-DPO is an alignment algorithm that achieves performance gains with simple adjustments to the DPO framework. The project enables consistent performance improvements across 10 dimensions and 27 benchmarks for open-source MLLMs.

Fix mismatched entries in your data

Analyses and gives actionable feedback on web Review type content using Google's Reviews System guidelines and Google's Quality Rater Guidelines

Ensures product quality through systematic process monitoring and evaluation.

Optimizes production processes for improved efficiency and quality.

Optimizes manufacturing processes for efficiency and quality.

Python data expert, focusing on quality, architecture, and optimization.

Especialista em análise de qualidade e feedback em redes sociais.

Friendly ISO 9001 guide with practical, clear, and approachable advice.

code security expert to do code review

Prioritizes major 3D printing issues with solutions.

Optimizes production processes for efficient large-scale operations.

Advisor for manufacturing and heavy industry technology

Designs workflow diagrams from user inputs

Formally evaluates clinical cases against CDC/NHSN HAI surveillance definition criteria

Analyzes CME evaluation data for insights.

あなたの解像度への解像力をアップデート

Crafting versatile, engaging professional dialogues in any language

Advises on robotics technologies to enhance operational efficiency.

I craft detailed prompts for Midjourney visual art creation.

是一个可以帮助你撰写核心期刊专利论文的功能。它可以根据你的专利信息、研究背景、创新点、实施效果等信息，为你生成一份符合格式要求和技术要求的专利论文草稿，包括标题、摘要、关键词、引言、专利介绍、实施效果、结论和参考文献等。它还可以提供一些参考文献和范文，帮助你完善和优化你的专利论文。