Best AI tools for< Understand Better >

Suinfy is an AI-powered YouTube video summarizer that helps you save time by extracting the key ideas from long videos. With Suinfy, you can quickly understand the core message of any YouTube video using our cutting-edge summary AI technology. Our YouTube summary tool is designed to enhance your learning experience by extracting the most important points from lengthy videos, saving you time and effort. Suinfy also supports multilingual translations in over 40 languages, eliminating any obstacles to comprehension. Additionally, our detailed timestamp guides allow you to effortlessly move through video content with our detailed, timestamped summary paragraphs. You can easily disseminate video summaries and key takeaways with colleagues, friends, or across your social networks, enhancing the accessibility of video content.

Scite is an award-winning platform for discovering and evaluating scientific articles via Smart Citations. Smart Citations allow users to see how a publication has been cited by providing the context of the citation and a classification describing whether it provides supporting or contrasting evidence for the cited claim.

Microsoft Copilot is an AI-powered coding assistant that helps developers write better code, faster. It provides real-time suggestions and code completions, and can even generate entire functions and classes. Copilot is available as a Visual Studio Code extension and as a standalone application.

SomniAI is an AI dream analysis tool that helps users understand the meaning of their dreams through accurate and personalized interpretations. Users can enter their dream and receive quick insights into their subconscious. The application is designed to provide valuable insights into dream symbolism and themes, enhancing self-awareness and personal growth.

Siwalu is an AI-based image recognition tool that specializes in identifying animals. The website offers apps that provide specific information about the characteristics and traits of pets, helping pet owners determine the breed of their pets quickly and accurately. By using advanced AI technology, Siwalu aims to increase knowledge about global biodiversity by focusing on animal recognition for dogs, cats, and horses. The apps have garnered millions of downloads and are praised for their accuracy and user-friendly interface.

SiteExplainer is an AI-powered web application that helps users understand the purpose of any website quickly and accurately. It uses advanced artificial intelligence and machine learning technology to analyze the content of a website and present a summary of the main ideas and key points. SiteExplainer simplifies the language used on landing pages and eliminates corporate jargon to help visitors better understand a website's content.

Personality First is an AI-powered psychology app that provides personalized assessments, insights, and guidance to help users understand themselves better and improve their personal growth. The app uses the latest AI technology to ensure that its assessments and interactions are as accurate as possible. It also has a strong focus on user experience, ensuring that every customer has a unique and tailored experience. Personality First offers a variety of features, including personalized assessments, thorough analysis, voice-first personalization, and a secure and safe environment.

Neurons is a platform that uses AI to predict consumer responses and behavior. It offers a variety of solutions for businesses, including marketing agencies, designers, and e-commerce companies. Neurons' AI-powered tools can help businesses optimize their marketing campaigns, improve their product design, and better understand their customers.

Pods.ee is a comprehensive platform that utilizes AI to enhance the podcast listening experience. It offers a range of AI-powered features, including transcripts, mindmaps, summaries, and outlines, enabling users to easily access and understand the key insights from podcasts. With Pods.ee, users can read along with the podcast using AI-generated transcripts, visualize ideas through mindmaps, and get to the point with concise summaries. The platform provides free and paid subscription plans, catering to both individuals and podcast enthusiasts.

Mindlake.ai is an AI-powered search engine designed for business communications. It consolidates and summarizes discussions related to projects from various communication channels, project management tools, and documentations. The tool helps users stay up-to-date with tasks, understand customers better, reduce meeting time, and bridge communication gaps between different teams.

PetWisdomHub is an AI-powered platform that provides answers to all your pet-related questions. Whether you're a new pet owner seeking guidance or a seasoned pet parent looking for expert advice, PetWisdomHub offers a comprehensive database of information to help you better understand and care for your furry friends. With its advanced AI algorithms, the platform can analyze your inquiries and provide accurate and personalized responses tailored to your pet's specific needs. From health and nutrition to behavior and training, PetWisdomHub is your go-to source for reliable pet care information.

June is a product and customer analytics software designed for B2B SaaS companies. It integrates with popular CRMs like Salesforce and HubSpot to help product, customer success, and sales teams better understand customer behavior and drive growth. June provides automated reports, no-code metric creation, and success playbooks to enhance user experience and increase customer retention. Trusted by numerous B2B SaaS companies, June offers a comprehensive solution for analyzing product usage data and improving customer interactions.

Mathful is a free online AI math solver that provides step-by-step solutions to math problems of various types and difficulty levels. It covers a wide range of math topics, from elementary math to calculus, and is designed to help students better understand math concepts, improve their math skills, and prepare for math tests. Mathful's AI-powered math solver is highly accurate and efficient, providing detailed explanations and calculations to help users master math problems effectively.

Mnemonic AI is an advanced Customer Intelligence AI tool that specializes in creating AI Personas and Digital Twin of the Customer. It helps organizations of all sizes better understand individuals by developing artificial intelligence solutions to tailor messages to their state of mind. The tool is fully automated, data-driven, and offers psychographics insights, integrations, and case studies to enhance customer centricity and marketing strategies.

KAI Conversations is an AI tool that improves health outcomes by delivering hidden human insights from remote conversations. It provides pioneering pharmaceutical organizations with marketing and SFE insights to better understand the needs of HCPs and increase market access. KAI also focuses on improving patient outcomes to keep patients out of acute care channels and enhance HCPs' emotional intelligence. The tool offers customer insights, Salesforce effectiveness monitoring, healthcare services, and coaching services to identify learning and development opportunities.

PersonaGen is an AI-powered tool that helps you create realistic and detailed user personas. With PersonaGen, you can quickly and easily generate personas that are based on your target audience research. This can help you to better understand your customers and create more effective marketing campaigns.

Smarter Sales is a sales call data management and automation tool that helps businesses streamline their sales processes, improve performance metrics, and save time. It integrates with popular video conferencing platforms like Zoom, Teams, and Meets to automatically pull call recordings for analysis. The tool also automates CRM data entry, providing instant, personalized feedback post-call. Managers can access detailed performance dashboards and summarized email reports to make data-driven coaching decisions. Smarter Sales is fully customizable, allowing businesses to set their own CRM data preferences and extract specific data from each call. The tool also offers personalized AI learning materials and stunning chart creation capabilities to help businesses better understand their sales data and improve their sales strategies.

InstantPersonas is an AI-powered tool that allows users to generate detailed user personas in seconds. It helps marketers and business owners understand their audience better by providing real-time insights into the thoughts of their audience. With InstantPersonas, users can create persona-driven content that resonates with their target audience, ultimately improving their content creation process and marketing strategies. The tool offers industry-leading AI capabilities at an affordable price, making it a valuable asset for businesses looking to enhance their marketing efforts.

SearchCandy is a Generative AI-powered search and analytics tool designed for e-commerce businesses. It helps businesses understand their customers better, boost conversions, and gain valuable insights. The platform offers easy integration with popular data integrations like Azure, Google Cloud, and AWS, as well as API clients such as Node.js, Python, and .NET. With SearchCandy, businesses can connect their data, test data retrieval using conversational prompts, easily integrate into their e-commerce store, track customer conversions, and benefit from affordable pricing.

ListenUp! is an AI-powered discovery tool designed for busy product teams to streamline the process of collecting and analyzing user feedback. The application automatically centralizes user feedback, orders it, and scales the process with AI technology. It helps product teams understand their users better, make informed decisions, and deliver more value efficiently. ListenUp! offers features such as automated feedback capture, real-time pattern suggestions, and transcribing user interviews with multiple speakers. The tool aims to enhance user understanding, improve product development, and boost team performance.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

Forust is a lightweight package for building gradient boosted decision tree ensembles. The algorithm code is written in Rust with a Python wrapper. It implements the same algorithm as XGBoost and provides nearly identical results. The package was developed to better understand XGBoost, as a fun project in Rust, and to experiment with adding new features to the algorithm in a simpler codebase. Forust allows training gradient boosted decision tree ensembles with multiple objective functions, predicting on datasets, inspecting model structures, calculating feature importance, and saving/loading trained boosters.

InstructGraph is a framework designed to enhance large language models (LLMs) for graph-centric tasks by utilizing graph instruction tuning and preference alignment. The tool collects and decomposes 29 standard graph datasets into four groups, enabling LLMs to better understand and generate graph data. It introduces a structured format verbalizer to transform graph data into a code-like format, facilitating code understanding and generation. Additionally, it addresses hallucination problems in graph reasoning and generation through direct preference optimization (DPO). The tool aims to bridge the gap between textual LLMs and graph data, offering a comprehensive solution for graph-related tasks.

LangGraph Studio is a specialized agent IDE that enables visualization, interaction, and debugging of complex agentic applications. It offers visual graphs and state editing to better understand agent workflows and iterate faster. Users can collaborate with teammates using LangSmith to debug failure modes. The tool integrates with LangSmith and requires Docker installed. Users can create and edit threads, configure graph runs, add interrupts, and support human-in-the-loop workflows. LangGraph Studio allows interactive modification of project config and graph code, with live sync to the interactive graph for easier iteration on long-running agents.

README-AI is a developer tool that auto-generates README.md files using a combination of data extraction and generative AI. It streamlines documentation creation and maintenance, enhancing developer productivity. This project aims to enable all skill levels, across all domains, to better understand, use, and contribute to open-source software. It offers flexible README generation, supports multiple large language models (LLMs), provides customizable output options, works with various programming languages and project types, and includes an offline mode for generating boilerplate README files without external API calls.

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.

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.

Animal-Artificial Intelligence (Animal-AI) is an interdisciplinary research platform designed to understand human, animal, and artificial cognition. It supports AI research to unlock cognitive capabilities and explore the space of possible minds. The open-source project facilitates testing across animals, humans, and AI, providing a comprehensive AI environment with a library of 900 tasks. It offers compatibility with Windows, Linux, and macOS, supporting Python 3.6.x and above. The environment utilizes Unity3D Game Engine, Unity ML-Agents toolkit, and provides interactive elements for AI training scenarios.

llm-analysis is a tool designed for Latency and Memory Analysis of Transformer Models for Training and Inference. It automates the calculation of training or inference latency and memory usage for Large Language Models (LLMs) or Transformers based on specified model, GPU, data type, and parallelism configurations. The tool helps users to experiment with different setups theoretically, understand system performance, and optimize training/inference scenarios. It supports various parallelism schemes, communication methods, activation recomputation options, data types, and fine-tuning strategies. Users can integrate llm-analysis in their code using the `LLMAnalysis` class or use the provided entry point functions for command line interface. The tool provides lower-bound estimations of memory usage and latency, and aims to assist in achieving feasible and optimal setups for training or inference.

DNAnalyzer is a nonprofit organization dedicated to revolutionizing DNA analysis through AI-powered tools. It aims to democratize access to DNA analysis for a deeper understanding of human health and disease. The tool provides innovative AI-powered analysis and interpretive tools to empower geneticists, physicians, and researchers to gain deep insights into DNA sequences, revolutionizing how we understand human health and disease.

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.

Start Machine Learning in 2024 is a comprehensive guide for beginners to advance in machine learning and artificial intelligence without any prior background. The guide covers various resources such as free online courses, articles, books, and practical tips to become an expert in the field. It emphasizes self-paced learning and provides recommendations for learning paths, including videos, podcasts, and online communities. The guide also includes information on building language models and applications, practicing through Kaggle competitions, and staying updated with the latest news and developments in AI. The goal is to empower individuals with the knowledge and resources to excel in machine learning and AI.

Beelzebub is an advanced honeypot framework designed to provide a highly secure environment for detecting and analyzing cyber attacks. It offers a low code approach for easy implementation and utilizes virtualization techniques powered by OpenAI Generative Pre-trained Transformer. Key features include OpenAI Generative Pre-trained Transformer acting as Linux virtualization, SSH Honeypot, HTTP Honeypot, TCP Honeypot, Prometheus openmetrics integration, Docker integration, RabbitMQ integration, and kubernetes support. Beelzebub allows easy configuration for different services and ports, enabling users to create custom honeypot scenarios. The roadmap includes developing Beelzebub into a robust PaaS platform. The project welcomes contributions and encourages adherence to the Code of Conduct for a supportive and respectful community.

CodeSpin.AI is a set of open-source code generation tools that leverage large language models (LLMs) to automate coding tasks. With CodeSpin, you can generate code in various programming languages, including Python, JavaScript, Java, and C++, by providing natural language prompts. CodeSpin offers a range of features to enhance code generation, such as custom templates, inline prompting, and the ability to use ChatGPT as an alternative to API keys. Additionally, CodeSpin provides options for regenerating code, executing code in prompt files, and piping data into the LLM for processing. By utilizing CodeSpin, developers can save time and effort in coding tasks, improve code quality, and explore new possibilities in code generation.

OpenVINO™ AI Plugins for Audacity* are a set of AI-enabled effects, generators, and analyzers for Audacity®. These AI features run 100% locally on your PC -- no internet connection necessary! OpenVINO™ is used to run AI models on supported accelerators found on the user's system such as CPU, GPU, and NPU. * **Music Separation**: Separate a mono or stereo track into individual stems -- Drums, Bass, Vocals, & Other Instruments. * **Noise Suppression**: Removes background noise from an audio sample. * **Music Generation & Continuation**: Uses MusicGen LLM to generate snippets of music, or to generate a continuation of an existing snippet of music. * **Whisper Transcription**: Uses whisper.cpp to generate a label track containing the transcription or translation for a given selection of spoken audio or vocals.

DVC, or Data Version Control, is a command-line tool and VS Code extension that helps you develop reproducible machine learning projects. With DVC, you can version your data and models, iterate fast with lightweight pipelines, track experiments in your local Git repo, compare any data, code, parameters, model, or performance plots, and share experiments and automatically reproduce anyone's experiment.

Vertex AI is a platform for end-to-end model development. It consist of core components that make the processes of MLOps possible for design patterns of all types.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

Beehave is a powerful addon for Godot Engine that enables users to create robust AI systems using behavior trees. It simplifies the design of complex NPC behaviors, challenging boss battles, and other advanced setups. Beehave allows for the creation of highly adaptive AI that responds to changes in the game world and overcomes unexpected obstacles, catering to both beginners and experienced developers. The tool is currently in development for version 3.0.

This repository evaluates Large Language Models (LLMs) trained on PGN format chess games using linear probes. It assesses the LLMs' internal understanding of board state and their ability to estimate player skill levels. The repo provides tools to train, evaluate, and visualize linear probes on LLMs trained to play chess with PGN strings. Users can visualize the model's predictions, perform interventions on the model's internal board state, and analyze board state and player skill level accuracy across different LLMs. The experiments in the repo can be conducted with less than 1 GB of VRAM, and training probes on the 8 layer model takes about 10 minutes on an RTX 3050. The repo also includes scripts for performing board state interventions and skill interventions, along with useful links to open-source code, models, datasets, and pretrained models.

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