Best AI tools for< Improve Effectiveness >

Briefly is an AI-powered briefing platform that helps users write effective briefs faster. It offers features such as FastDrafts for quick draft generation, tailored feedback for improvement, personalized effectiveness case studies for inspiration, and business intelligence engine for strategic alignment. The platform ensures compliance, security, and measurable ROI, with fine-grained admin controls and personalized onboarding. Briefly is trusted by marketers worldwide, from startups to Fortune 500 companies.

Neurons is an AI tool designed to help marketers and designers optimize their creatives and improve campaign effectiveness. It provides instant visual feedback, data-driven insights, and scalable attention predictions rooted in neuroscience. The platform is built on the latest advances in cognitive neuroscience, machine learning, AI, and psychology, ensuring scientific validity in its methods and metrics. Neurons aims to reduce guesswork, increase impact, and enable users to make better decisions faster.

VisualEyes is a user experience (UX) optimization tool that uses attention heatmaps and clarity scores to help businesses improve the effectiveness of their digital products. It provides insights into how users interact with websites and applications, allowing businesses to identify areas for improvement and make data-driven decisions about their designs. VisualEyes is part of Neurons, a leading neuroscience company that specializes in providing AI-powered solutions for businesses.

Salee AI is an AI-powered LinkedIn outreach copilot that helps users craft hyper-personalized messages to enhance their LinkedIn outreach efforts. The tool deeply analyzes each LinkedIn profile to create messages that get replies, protects users' LinkedIn reputation, and helps in arranging more meetings with AI-powered personalized messages. Salee AI offers features like crafting personalized invitations with one click, composing catchy pitches and follow-ups, handling objections instantly, and providing insights on leads' profiles. It aims to boost reply rates, save time, and improve the overall effectiveness of LinkedIn outreach strategies.

Jackrabbit Ops is an AI tool designed to help businesses never miss a new customer by automating lead responses, booking meetings, handling RFQs, qualifying leads, and more. It offers a simple pricing model and aims to streamline sales processes by leveraging AI technology to improve efficiency and effectiveness.

Writetone is an AI-powered writing assistant that helps users write in a variety of tones, from formal to informal, persuasive to informative, and creative to engaging. It offers a range of features to help users improve their writing skills, including a paraphrasing tool, co-writer, summarizer, grammar checker, text-to-voice tool, and subject matter expert. Writetone is available as a Chrome extension and MS Word add-in, and it offers a variety of resources to help users get started, including blogs, guides, tutorials, and free templates.

Linguix is a GPT-4 writing and productivity copilot for teams. It uses artificial intelligence to improve grammar, spelling, and style, and to help users write more clearly and effectively. Linguix is available as a browser extension and a web editor, and it can be used with a variety of online platforms, including Gmail, Google Docs, and OpenAI. Linguix is trusted by over 310,000 users, including Google Chrome Store Featured App, Edge Store Featured App, Product Hunt Top #1 writing assistant, G2 reviews website Top proofreading tool, and Linguix for Figma Featured App.

Promptmate.io is an AI-powered app builder that allows users to create customized applications based on leading AI systems. With Promptmate, users can combine different AI systems, add external data, and automate processes to streamline their workflows. The platform offers a range of features, including pre-built app templates, bulk processing, and data extenders, making it easy for users to build and deploy AI-powered applications without the need for coding.

Naro is an AI-powered sales knowledge platform that helps marketers identify trends and content gaps by analyzing sales conversations. It proactively suggests the right content to sellers, increases content utilization, and integrates conversations and content seamlessly. Naro also connects with existing tools to provide data-driven sales insights and improve content discoverability. With Naro, users can improve content efficacy, discover gaps and trends in sales interactions, automatically answer sales questions, and track content utilization by account and prospect.

Kona is an AI-powered platform designed to provide real-time coaching and support to managers in remote organizations. It offers personalized coaching, meeting assistance, leadership advice, and performance review preparation. Kona helps managers save time, improve leadership skills, and enhance team effectiveness by leveraging AI technology. The platform is built to reinforce and scale manager training content, provide data analytics insights, and integrate with existing tools to support better feedback and prioritization. Kona is designed to ensure every manager leads according to the organization's best practices and offers a secure and confidential environment for coaching and support.

Highspot is a leading sales enablement platform that helps businesses improve their sales performance. It provides a range of features to help sales teams manage content, train and coach reps, and engage buyers. Highspot's AI-driven insights help sales teams identify opportunities, close deals faster, and increase revenue.

AI Pricing Optimizer is an AI-driven tool designed to help SaaS businesses optimize their pricing strategies for increased sales and profits. It offers smart and actionable insights to enhance pricing display, customer understanding, promotions, and call-to-action optimization. The tool aims to eliminate guesswork and provide data-driven recommendations to improve conversion rates and revenue potential. AI Pricing Optimizer is suitable for indie hackers, solofounders, and SaaS businesses looking to maximize their pricing effectiveness and boost sales.

Mesh AI is a performance management platform that leverages AI technology to help organizations improve their high performer density, achieve strategic objectives, and enhance performance enablement. It combines goal tracking, real-time insights, habit formation via AI nudges, and AI coaching to provide actionable and science-backed content for people performance. Mesh offers a comprehensive toolkit with templates, tools, and playbooks, along with thought leadership resources such as webinars, virtual shows, and expert podcasts.

SymphonyAI offers AI SaaS solutions for financial crime prevention, helping organizations detect fraud, conduct customer due diligence, and prevent payment fraud. Their solutions leverage generative and predictive AI to enhance efficiency and effectiveness in investigating financial crimes. SymphonyAI's products cater to industries like banking, insurance, financial markets, and private banking, providing rapid deployment, scalability, and seamless integration to meet regulatory compliance requirements.

Trivie is a modern workforce engagement platform that leverages AI-generative tools, community, gamification, and high-definition analytics to enhance learning experiences. It helps companies transform content creation and training delivery efficiently. Trivie focuses on knowledge transfer, engagement, retention, and measurement to ensure effective training outcomes. The platform enables peer-to-peer learning, personalization of training content, and provides insights for improving knowledge transfer and training effectiveness. Trivie is designed to make learning enjoyable, engaging, and impactful for employees, ultimately driving business results and organizational effectiveness.

Pongo is an AI-powered tool that helps reduce hallucinations in Large Language Models (LLMs) by up to 80%. It utilizes multiple state-of-the-art semantic similarity models and a proprietary ranking algorithm to ensure accurate and relevant search results. Pongo integrates seamlessly with existing pipelines, whether using a vector database or Elasticsearch, and processes top search results to deliver refined and reliable information. Its distributed architecture ensures consistent latency, handling a wide range of requests without compromising speed. Pongo prioritizes data security, operating at runtime with zero data retention and no data leaving its secure AWS VPC.

Nektar is an AI-driven GTM automation platform that offers comprehensive control over customer data synchronization, including contacts, opportunity contact roles, GTM activities, and activity insights. It helps in matching sales processes and security needs efficiently. Trusted by high-performing global revenue teams, Nektar enables users to build more pipeline, win deals faster, and renew and expand customers. The platform leverages AI to transform buyer data at scale, providing visibility into buying groups, meeting quality, and contact roles. Nektar is designed to enhance customer success journeys, drive better renewal outcomes, and improve pipeline inspection using high-quality engagement data.

Feelsy is a social media sentiment analysis tool that helps businesses understand how their audience feels about their content. With Feelsy, businesses can track the sentiment of their Instagram comments in real-time, identify the content that resonates most with their audience, and measure the effectiveness of their social media campaigns.

Firstup is an intelligent communication platform that helps organizations create and deliver personalized communication campaigns to their employees. The platform uses AI to analyze employee data and behavior to determine the most effective way to reach each individual. Firstup also provides a variety of tools to help organizations measure the effectiveness of their communication campaigns and track employee engagement. With Firstup, organizations can improve employee communication, increase engagement, and drive business results.

TeachEdge.ai is an innovative AI-powered platform designed to revolutionize the field of education. It leverages cutting-edge artificial intelligence technology to provide personalized learning experiences for students, streamline administrative tasks for educators, and enhance overall teaching effectiveness. With advanced algorithms and machine learning capabilities, TeachEdge.ai offers a comprehensive suite of tools and resources to optimize the learning process and improve educational outcomes.

agentUniverse is a framework for developing applications powered by multi-agent based on large language model. It provides essential components for building single agent and multi-agent collaboration mechanism for customizing collaboration patterns. Developers can easily construct multi-agent applications and share pattern practices from different fields. The framework includes pre-installed collaboration patterns like PEER and DOE for complex task breakdown and data-intensive tasks.

Mutahunter is an open-source language-agnostic mutation testing tool maintained by CodeIntegrity. It leverages LLM models to inject context-aware faults into codebase, ensuring comprehensive testing. The tool aims to empower companies and developers to enhance test suites and improve software quality by verifying the effectiveness of test cases through creating mutants in the code and checking if the test cases can catch these changes. Mutahunter provides detailed reports on mutation coverage, killed mutants, and survived mutants, enabling users to identify potential weaknesses in their test suites.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases), perform root cause analysis on failure cases and give insights on how to resolve them.

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.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

LinkedIn_AIHawk is an automated tool designed to revolutionize the job search and application process on LinkedIn. It leverages automation and artificial intelligence to efficiently apply to relevant positions, personalize responses, manage application volume, filter listings, generate dynamic resumes, and handle sensitive information securely. The tool aims to save time, increase application relevance, and enhance job search effectiveness in today's competitive landscape.

Cherry Data Selection project introduces a self-guided methodology for LLMs to autonomously discern and select cherry samples from open-source datasets, minimizing manual curation and cost for instruction tuning. The project focuses on selecting impactful training samples ('cherry data') to enhance LLM instruction tuning by estimating instruction-following difficulty. The method involves phases like 'Learning from Brief Experience', 'Evaluating Based on Experience', and 'Retraining from Self-Guided Experience' to improve LLM performance.

The 'awesome-deliberative-prompting' repository focuses on how to ask Large Language Models (LLMs) to produce reliable reasoning and make reason-responsive decisions through deliberative prompting. It includes success stories, prompting patterns and strategies, multi-agent deliberation, reflection and meta-cognition, text generation techniques, self-correction methods, reasoning analytics, limitations, failures, puzzles, datasets, tools, and other resources related to deliberative prompting. The repository provides a comprehensive overview of research, techniques, and tools for enhancing reasoning capabilities of LLMs.

LLM4IR-Survey is a collection of papers related to large language models for information retrieval, organized according to the survey paper 'Large Language Models for Information Retrieval: A Survey'. It covers various aspects such as query rewriting, retrievers, rerankers, readers, search agents, and more, providing insights into the integration of large language models with information retrieval systems.

Holistic AI is an open-source library dedicated to assessing and improving the trustworthiness of AI systems. It focuses on measuring and mitigating bias, explainability, robustness, security, and efficacy in AI models. The tool provides comprehensive metrics, mitigation techniques, a user-friendly interface, and visualization tools to enhance AI system trustworthiness. It offers documentation, tutorials, and detailed installation instructions for easy integration into existing workflows.

WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.

Awesome LLM for APR is a repository dedicated to exploring the capabilities of Large Language Models (LLMs) in Automated Program Repair (APR). It provides a comprehensive collection of research papers, tools, and resources related to using LLMs for various scenarios such as repairing semantic bugs, security vulnerabilities, syntax errors, programming problems, static warnings, self-debugging, type errors, web UI tests, smart contracts, hardware bugs, performance bugs, API misuses, crash bugs, test case repairs, formal proofs, GitHub issues, code reviews, motion planners, human studies, and patch correctness assessments. The repository serves as a valuable reference for researchers and practitioners interested in leveraging LLMs for automated program repair.

LongRoPE is a method to extend the context window of large language models (LLMs) beyond 2 million tokens. It identifies and exploits non-uniformities in positional embeddings to enable 8x context extension without fine-tuning. The method utilizes a progressive extension strategy with 256k fine-tuning to reach a 2048k context. It adjusts embeddings for shorter contexts to maintain performance within the original window size. LongRoPE has been shown to be effective in maintaining performance across various tasks from 4k to 2048k context lengths.

LetMeDoIt AI is a virtual assistant designed to revolutionize the way you work. It goes beyond being a mere chatbot by offering a unique and powerful capability - the ability to execute commands and perform computing tasks on your behalf. With LetMeDoIt AI, you can access OpenAI ChatGPT-4, Google Gemini Pro, and Microsoft AutoGen, local LLMs, all in one place, to enhance your productivity.

The Radicalbit AI Monitoring Platform provides a comprehensive solution for monitoring Machine Learning and Large Language models in production. It helps proactively identify and address potential performance issues by analyzing data quality, model quality, and model drift. The repository contains files and projects for running the platform, including UI, API, SDK, and Spark components. Installation using Docker compose is provided, allowing deployment with a K3s cluster and interaction with a k9s container. The platform documentation includes a step-by-step guide for installation and creating dashboards. Community engagement is encouraged through a Discord server. The roadmap includes adding functionalities for batch and real-time workloads, covering various model types and tasks.

ComfyUI Portrait Master 3.1 is a tool designed to assist AI image creators in generating prompts for human portraits. The tool offers various modules for customizing character details such as base character, skin details, style & pose, and makeup. Users can control parameters like shot type, gender, age, ethnicity mix, body type, facial features, hair details, skin imperfections, and more to create unique portrait prompts. The tool aims to enhance photorealism and provide a user-friendly interface for generating portrait prompts efficiently.

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.

HuixiangDou is a **group chat** assistant based on LLM (Large Language Model). Advantages: 1. Design a two-stage pipeline of rejection and response to cope with group chat scenario, answer user questions without message flooding, see arxiv2401.08772 2. Low cost, requiring only 1.5GB memory and no need for training 3. Offers a complete suite of Web, Android, and pipeline source code, which is industrial-grade and commercially viable Check out the scenes in which HuixiangDou are running and join WeChat Group to try AI assistant inside. If this helps you, please give it a star ⭐

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

Generates creative lead magnet ideas for businesses

Expert in automotive customer management advice.

Get a detailed risk analysis for public relations, marketing, and internal communications, identifying challenges and negative impacts to refine your messaging strategy.

The #1 open source GPT to build your SKAN 4.0 conversion values schema.

Designs effective training materials to enhance organizational learning and performance.

Your UX mentor focusing on mobile usability and optimizing for conversion.

AI assistant for self-service and knowledge management, incorporating insights from the 'Practices Guide' by Consortium for Service Innovation, under CC BY-NC 4.0 (https://bit.ly/3QUvgBm). No adaptations made.

I simulate a junior employee for engaging and insightful 1-on-1 meetings. I am your new ally in building a stronger, more transparent, and more effective workplace. Start your journey towards better leadership and employee satisfaction today!

Offering guidance on improving social interactions with empathetic, respectful, and effective communication strategies.

AI Meeting Analyst: Summarizes transcripts, extracts key points and action items, conducts sentiment analysis. Offers advice and insights on meeting content, objectives, and outcomes for improved effectiveness.

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.