Best AI tools for< measure engineering roi >

Tara AI is an AI platform for software engineering best practices that helps engineering teams measure, optimize, and act on metrics to drive impactful outcomes. It unifies and enriches engineering activity with no changes to teams' workflows, providing real-time insights and alerts on delivery. Tara AI helps engineering leaders and their teams gain visibility by connecting issue tracking and Git source control, enabling them to see engineering ROI and customer impact in real-time. By aggregating and reconciling performance data at the team and project level, Tara AI helps uncover meaningful insights, improve engineering efficiency and customer delivery, and prioritize initiatives that deliver customer value.

Treblle is an End to End APIOps Platform that helps engineering and product teams build, ship, and understand their REST APIs in one single place. It offers features such as API Observability, API Documentation, API Governance, API Security, and API Analytics. With a focus on empowering API producers and consumers, Treblle provides actionable data in real-time, customizable dashboards, and automated API development. The platform aims to improve API release times, enhance developer experience, and ensure API quality and security.

Earkick is a personal AI chatbot that helps you measure and improve your mental health in real time. It uses AI to auto-detect your mental state and provide immediate feedback. You can chat with the Earkick Panda for real-time support, or use the guided self-care sessions to learn meditation and breathing techniques. Earkick is completely private and secure, with no registration or personal data required.

proudP is a personal urinary health monitoring app that analyzes the urine sounds and provides key metrics on prostate and bladder health. It is an FDA Class II medical device that is urologist-endorsed and HIPAA compliant. proudP is a self-care tool that allows users to monitor their prostate and urinary health at home. It is a convenient and affordable way to track symptoms, identify trends, and share results with doctors.

Gestualy is an AI application that measures and improves customer satisfaction and mood quickly and easily through gestures, without the need for cumbersome satisfaction surveys. It interacts with customers or guests through gestures, enabling intelligent decision-making in businesses using artificial intelligence. Gestualy generates valuable statistical reports for businesses, including satisfaction levels, gender, mood, and age, all while ensuring data protection and privacy compliance. The application offers touchless interaction, immediate feedback, anonymized reports, and continuous advancement in services such as quick interactions, inferred data through AI and computer vision techniques, facial analysis and recognition, gamification, and alert systems.

Brand24 is a powerful AI-powered social listening tool that helps businesses protect their brand reputation, measure their brand awareness, analyze their competitors, and discover customer insights. With Brand24, you can track mentions of your brand across social media, news, blogs, videos, forums, podcasts, reviews, and more. You can also use Brand24 to track hashtags, measure the reach of your marketing campaigns, and get access to valuable customer insights.

Soona is an all-in-one content platform for commerce that provides tools for creating, managing, and measuring brand content. It offers a range of services including product photography, video production, user-generated content, models, and stylists. Soona's AI-powered visual analytics help businesses identify product content gaps and optimize their product visuals. The platform also includes a digital asset management system tailored for brands on Amazon and Shopify.

Metabob is an AI-powered code review tool that helps developers detect, explain, and fix coding problems. It utilizes proprietary graph neural networks to detect problems and LLMs to explain and resolve them, combining the best of both worlds. Metabob's AI is trained on millions of bug fixes performed by experienced developers, enabling it to detect complex problems that span across codebases and automatically generate fixes for them. It integrates with popular code hosting platforms such as GitHub, Bitbucket, Gitlab, and VS Code, and supports various programming languages including Python, Javascript, Typescript, Java, C++, and C.

Attune Health is a mobile application that uses AI-enabled video-based technology to measure your vital signs like blood pressure, oxygen saturation, HRV, stress levels, and even Hemoglobin. With just a simple face scan, you can get accurate measurements of your vital signs without the need for any wearables. The app is easy to use and provides gender-specific results for best accuracy. Your privacy is also guaranteed as no one has access to your data and the analysis runs on your phone, no internet connection is needed.

Dezan is an AI-powered tool that helps brands understand and improve their sustainability image. It provides a comprehensive analysis of a brand's sustainability performance, including its environmental, social, and economic impact. Dezan also offers recommendations on how to improve a brand's sustainability image, and it tracks progress over time.

Simpleem is an Artificial Emotional Intelligence (AEI) tool that helps users uncover intentions, predict success, and leverage behavior for successful interactions. By measuring all interactions and correlating them with concrete outcomes, Simpleem provides insights into verbal, para-verbal, and non-verbal cues to enhance customer relationships, track customer rapport, and assess team performance. The tool aims to identify win/lose patterns in behavior, guide users on boosting performance, and prevent burnout by promptly identifying red flags. Simpleem uses proprietary AI models to analyze real-world data and translate behavioral insights into concrete business metrics, achieving a high accuracy rate of 94% in success prediction.

Adjust is an AI-driven platform that helps mobile app developers accelerate their app's growth through a comprehensive suite of measurement, analytics, automation, and fraud prevention tools. The platform offers unlimited measurement capabilities across various platforms, powerful analytics and reporting features, AI-driven decision-making recommendations, streamlined operations through automation, and data protection against mobile ad fraud. Adjust also provides solutions for iOS and SKAdNetwork success, CTV and OTT performance enhancement, ROI measurement, fraud prevention, and incrementality analysis. With a focus on privacy and security, Adjust empowers app developers to optimize their marketing strategies and drive tangible growth.

Zonka Feedback is a powerful Customer Feedback and Survey Platform that offers User Segmentation for precise targeting, AI capabilities for smarter surveys, and a wide range of features to measure and improve Customer Experience. It provides solutions for various industries and use cases, integrates with popular tools, and offers in-depth reporting and analytics. Zonka Feedback is known for its modern-looking surveys, ease of use, and extensive integrations, making it a versatile tool for collecting feedback from customers, users, visitors, patients, and employees.

SportBoost AI is an innovative solution powered by advanced Artificial Intelligence that empowers athletes to measure and improve their performance. With cutting-edge mobile apps, athletes can effortlessly track their ball speeds and jump performances, providing valuable data for analysis and improvement. SportBoost AI's mission is to democratize access to advanced data and analytics, enabling athletes and coaches at all levels to make informed decisions and elevate their performance.

The Deepfake Detection Challenge Dataset is a project initiated by Facebook AI to accelerate the development of new ways to detect deepfake videos. The dataset consists of over 100,000 videos and was created in collaboration with industry leaders and academic experts. It includes two versions: a preview dataset with 5k videos and a full dataset with 124k videos, each featuring facial modification algorithms. The dataset was used in a Kaggle competition to create better models for detecting manipulated media. The top-performing models achieved high accuracy on the public dataset but faced challenges when tested against the black box dataset, highlighting the importance of generalization in deepfake detection. The project aims to encourage the research community to continue advancing in detecting harmful manipulated media.

The Bazaarvoice affable.ai platform is an AI-driven influencer marketing solution that helps brands find, manage, and measure creator collaborations. It offers a range of features to help brands connect with the right creators, manage campaigns, and track results. The platform includes a database of over 100,000 creators, advanced search filters, campaign management tools, and reporting dashboards.

Bazaarvoice is an AI-driven influencer marketing platform that helps brands connect, manage, and measure creator collaborations. It leverages user-generated content (UGC) to enhance the consumer journey and omnichannel experience. The platform offers solutions for collecting content, driving conversion, amplifying content, optimizing strategy, and building loyalty. Bazaarvoice Affable.ai, a part of the platform, specializes in AI-driven influencer marketing solutions, enabling users to find and manage influencers seamlessly. The platform automates and consolidates creator management, provides insights on creators, and offers tracking and reporting capabilities.

HypeAuditor is a comprehensive influencer marketing platform that empowers businesses to discover, analyze, manage, and measure their influencer marketing campaigns. With a database of over 138.4 million influencers across Instagram, YouTube, TikTok, Twitter, and Twitch, HypeAuditor provides in-depth analytics, fraud detection, campaign management tools, and market insights to help businesses optimize their influencer marketing strategies. The platform's AI-powered technology enables users to identify the most relevant influencers for their campaigns, analyze their performance, and track the results of their campaigns in real-time.

Ada is an AI-powered customer service automation platform that helps businesses resolve more customer inquiries with less effort. It offers a range of features, including automated resolution of up to 75% of customer inquiries, seamless integration with existing tech stacks, and continuous improvement through guidance and AI coaching.

The Millshop Online is an online retailer of fabrics for curtains, upholstery, and other home décor projects. They offer a wide variety of fabrics in different colors, patterns, and textures, as well as a range of home décor accessories. The Millshop Online is committed to providing high-quality fabrics at affordable prices, and they offer a variety of services to help customers find the perfect fabric for their project.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

Chronon is a platform that simplifies and improves ML workflows by providing a central place to define features, ensuring point-in-time correctness for backfills, simplifying orchestration for batch and streaming pipelines, offering easy endpoints for feature fetching, and guaranteeing and measuring consistency. It offers benefits over other approaches by enabling the use of a broad set of data for training, handling large aggregations and other computationally intensive transformations, and abstracting away the infrastructure complexity of data plumbing.

ChainForge is a visual programming environment for battle-testing prompts to LLMs. It is geared towards early-stage, quick-and-dirty exploration of prompts, chat responses, and response quality that goes beyond ad-hoc chatting with individual LLMs. With ChainForge, you can: * Query multiple LLMs at once to test prompt ideas and variations quickly and effectively. * Compare response quality across prompt permutations, across models, and across model settings to choose the best prompt and model for your use case. * Setup evaluation metrics (scoring function) and immediately visualize results across prompts, prompt parameters, models, and model settings. * Hold multiple conversations at once across template parameters and chat models. Template not just prompts, but follow-up chat messages, and inspect and evaluate outputs at each turn of a chat conversation. ChainForge comes with a number of example evaluation flows to give you a sense of what's possible, including 188 example flows generated from benchmarks in OpenAI evals. This is an open beta of Chainforge. We support model providers OpenAI, HuggingFace, Anthropic, Google PaLM2, Azure OpenAI endpoints, and Dalai-hosted models Alpaca and Llama. You can change the exact model and individual model settings. Visualization nodes support numeric and boolean evaluation metrics. ChainForge is built on ReactFlow and Flask.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

Unstract is a no-code platform that enables users to launch APIs and ETL pipelines to structure unstructured documents. With Unstract, users can go beyond co-pilots by enabling machine-to-machine automation. Unstract's Prompt Studio provides a simple, no-code approach to creating prompts for LLMs, vector databases, embedding models, and text extractors. Users can then configure Prompt Studio projects as API deployments or ETL pipelines to automate critical business processes that involve complex documents. Unstract supports a wide range of LLM providers, vector databases, embeddings, text extractors, ETL sources, and ETL destinations, providing users with the flexibility to choose the best tools for their needs.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

SciMLBenchmarks.jl holds webpages, pdfs, and notebooks showing the benchmarks for the SciML Scientific Machine Learning Software ecosystem, including: * Benchmarks of equation solver implementations * Speed and robustness comparisons of methods for parameter estimation / inverse problems * Training universal differential equations (and subsets like neural ODEs) * Training of physics-informed neural networks (PINNs) * Surrogate comparisons, including radial basis functions, neural operators (DeepONets, Fourier Neural Operators), and more The SciML Bench suite is made to be a comprehensive open source benchmark from the ground up, covering the methods of computational science and scientific computing all the way to AI for science.

This is the official repository for the ACM CCS 2024 paper 'Do Anything Now': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models. The project employs a new framework called JailbreakHub to conduct the first measurement study on jailbreak prompts in the wild, collecting 15,140 prompts from December 2022 to December 2023, including 1,405 jailbreak prompts. The dataset serves as the largest collection of in-the-wild jailbreak prompts. The repository contains examples of harmful language and is intended for research purposes only.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

Qwen is a series of large language models developed by Alibaba DAMO Academy. It outperforms the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen models outperform the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen-72B achieves better performance than LLaMA2-70B on all tasks and outperforms GPT-3.5 on 7 out of 10 tasks.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

对各种量化问题进行拆解和粗略的估算。注意这种估算主要是靠推测，而不是靠准确的数据，因此仅供参考。理想情况下，估算结果和真实值差距可能在1个数量级以内。即使数值不准确，也希望拆解思路对你有所启发。

Generates items for psychometric instruments to measure psychological constructs.

Explore social and environmental data for 169 countries to measure social progress and go beyond GDP. Using data from the Social Progress Imperative and powered by Open AI.

The Turing Test, first named the imitation game by Alan Turing in 1950, is a measure of a machine's capacity to demonstrate intelligence that's either equal to or indistinguishable from human intelligence.

A device which detects the power level of any entity by measuring fluctuations in "Soul Power."

あなたの顔写真を送付するだけで顔面偏差値を出力してくれます。各項目別に点数付けしてくれて、顔の強みや特徴まで分析してくれるツール。

Detects and measures information credibility. Provides a "BS Score" (0-100) based on content analysis for misinformation signs, including factual inaccuracies and sensationalist language. Real-time feedback.

Provides Raven's Progressive Matrices test with explanations and calculates your IQ score.

IQ Test is designed to simulate an IQ testing environment. It provides a formal and objective experience, delivering questions and processing answers in a straightforward manner.

Upload full-body photo. Get height estimation.

Formal and structured interactive IQ test platform.

FREE How to Know What Size Nursing Bra to Get - Guidance on nursing bra sizing with insights into breast size changes during pregnancy, measurement instructions, and advice on choosing the right bra style and size. It interprets bust measurements and answers FAQs about nursing bras.

Analyzes sourdough bread images with scientific precision

Gives experienced advice on influencer-brand dynamics.

Guides in creating effective PLG strategies for products

Define the right marketing metrics for your business

Expert in analyzing coffee grind particle size distribution using image processing and KDE.

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

I provide specific, tactical product management advice with practical examples and templates.