Best AI tools for< Aggregate Content >

Personamo Workflow is an AI-powered application that allows users to control and customize their content feeds using LEGO-like blocks. Users can adjust the signal-to-noise ratio of their feed algorithms for better content prioritization. The application aggregates content from various sources such as news sites, blogs, and subreddits, enabling users to consume and organize information in one place. With the ability to create different feeds for distinct personas, users can receive relevant recommendations without interference between feeds.

Quantexa News API is an AI-powered news data application that provides fast and powerful access to global news content. It offers real-time access to enriched, tagged, and structured news feeds, enhancing risk monitoring processes and models. The application aggregates news content from over 90,000 sources and 1.3 million NLP-enriched news articles daily, with advanced AI-powered search capabilities to filter and surface relevant information. Quantexa News API is trusted by various industries for its efficiency, effectiveness, and accuracy in delivering critical business insights through news data.

Sofon is a knowledge aggregation and curation platform that provides users with personalized insights on topics they care about. It aggregates and curates knowledge shared across 1,000+ articles, podcasts, and books, delivering a personalized stream of ideas to users. Sofon uses AI to compare ideas across hundreds of people on any question, saving users thousands of hours of curation. Users can indicate the people they want to learn from, and Sofon will curate insights across all their knowledge. Users can receive an idealetter, which is a unique combination of ideas across all the people they've selected around a common theme, delivered at an interval of their choice.

Empler AI Inc is a website offering AI-powered products and services, including application programming interfaces, software tools, developer services, and documentation. The site collects Personal Information for various purposes, such as providing, analyzing, and improving services, conducting research, and ensuring security. Empler AI respects user privacy and complies with legal obligations. The site also offers aggregated information for analysis and research. Users can contact support for information updates or privacy rights. Empler AI implements security measures to protect Personal Information and may transfer data internationally.

Browse AI is an AI-powered tool that allows users to easily extract and monitor data from any website without the need for coding. With prebuilt robots and over 7,000 integrations, users can train robots in minutes to extract specific data, monitor changes, and automate tasks. The tool offers features like data extraction, monitoring, prebuilt robots for popular use cases, and integration with various applications. Browse AI is trusted by over 370,000 individuals and teams for its ease of use, efficiency, and time-saving capabilities.

VoiceLark is a real-time crypto content aggregator with sentiment analysis powered by advanced AI technology. It provides users with insights into market emotions, sentiments, and trends related to cryptocurrencies. The platform collects and analyzes data from over 110 different sources on the web, offering summaries, sentiment evaluations, and rankings of cryptocurrencies to help investors and traders make informed decisions based on market sentiments.

Rapid AI DAta Yields (RAIDAY) is a platform that provides AI tools, data products, and educational resources to help businesses and individuals leverage the power of artificial intelligence. RAIDAY's mission is to democratize and streamline the creation of simple yet powerful AI and data products for everyone, regardless of their technical expertise or resources. The platform offers a range of AI tools, including content generators, data analysis tools, and AI-powered chatbots. RAIDAY also provides a library of AI-generated content and data products that can be used to train AI models or to create new AI applications. In addition to its AI tools and data products, RAIDAY also offers a variety of educational resources, including tutorials, webinars, and blog posts, to help users learn about AI and how to use it effectively.

Fuse is a smart news aggregator that delivers personalized and complete coverage of top news stories from the U.S. and around the world. Stories are covered from every angle - with articles, videos and opinions from trusted sources. Fuse employs AI/ML algorithms to continuously collect, organize, prioritize and personalize news stories. Articles, videos and opinions are collected from all the major news media outlets and automatically organized by stories and topics.

NewsDigest.Ai is an AI-powered platform that provides 24/7 financial news updates. It utilizes advanced AI agents to gather news related to technology, economics, and geopolitics in multiple languages. Users can access real-time news content and stay informed about the latest developments in the financial world.

Feedly is a news aggregator that allows users to organize, read, and share news from a variety of sources. It uses AI to help users discover new content and stay up-to-date on the latest news. Feedly is available as a web app, iOS app, and Android app.

ToolList.ai is an AI tools aggregator platform that showcases cutting-edge AI tools and startups. It serves as a hub for enthusiasts, developers, and entrepreneurs to explore the latest advancements in AI technology. Users can discover, submit, and evaluate a wide range of AI tools, fostering innovation and collaboration in the AI field. The platform covers various categories such as AI SaaS platforms, AI for sales & marketing, mobile & web apps, AI development tools, AI analytics, and ethics in AI.

LaterOn is a newsletter aggregator and reader that provides a distraction-free reading experience for newsletters without flooding your inbox. It allows you to subscribe to as many newsletters as you want and will collect, summarize, and forward them to you in one email per week or month. LaterOn also has an AI companion that you can ask anything about the newsletter content.

Dev Radar is an open-source, AI-powered news aggregator that helps users stay up to date with the latest trends in software development. It provides curated articles on various programming languages and frameworks, offering valuable insights for developers. The platform leverages AI algorithms to discover and recommend relevant content, making it a valuable resource for staying informed in the rapidly evolving tech industry.

CustomerIQ is an AI platform that automatically discovers and quantifies themes across customer feedback channels like calls, surveys, tickets, and transcripts. It aggregates customer feedback, extracts and categorizes feature requests, pain points, preferences, and highlights related to customers. The platform helps align teams, prioritize work, and build a customer-obsessed culture. CustomerIQ accelerates development by scoping project requirements faster and providing actionable insights backed with context.

Fritz AI is an AI tool that scans and ranks all AI tools, apps, and websites based on a set of criteria to determine the best and most ethical options. They provide technical guides, reviews, and tutorials to help users get started with machine learning. Fritz AI focuses on ethics, functionality, user experience, and innovation when evaluating tools. Users can contribute tool suggestions and collaborate with the Fritz AI team. The platform also offers beginner-friendly guides, consulting services, and promotes ethical use of AI and machine learning technologies.

Tabula is a visual data analytics tool that uses AI to help businesses get insights from their data. It is easy to use and can be used by anyone, regardless of their technical expertise. Tabula can be used to access and unify data from a variety of sources, standardize and blend datasets, add custom metrics, build stunning reports, and automate repetitive tasks. Tabula is integrated with a variety of data sources and platforms, making it easy to get started.

Raijin.ai is an AI-powered Customer Discovery and Intelligence Hub designed to help teams aggregate and extract key insights from customer conversations. It accelerates product development by prioritizing features based on customer feedback. The platform offers features like AI Thematic Analysis, Report Writing, Segmentation, and Tags to streamline qualitative research and analysis processes. Raijin.ai is ideal for user researchers, product analysts, and teams looking to integrate AI seamlessly into their workflow to create customer-centric products and data-driven marketing strategies.

Aomni is an AI-powered sales engagement platform that helps B2B sellers build better buyer relationships and save time on prep work throughout the sales cycle. It uses intelligent automation to aggregate data, identify and contact prospects, and provide insights to help sellers close more deals. Aomni's AI assistant is a B2B sales expert out of the box and is fine-tuned to understand your specific ICPs, competitors, and sales playbooks.

Trustpilot productai.one is an AI tool designed to provide product reviews and ratings. It utilizes artificial intelligence algorithms to analyze and aggregate customer feedback, helping users make informed purchasing decisions. The platform offers a user-friendly interface where consumers can explore and compare various products based on real customer experiences. With Trustpilot productai.one, users can access valuable insights and recommendations to guide their shopping choices.

LogRocket is a session replay, product analytics, and issue detection platform that helps software teams deliver the best web and mobile experiences. With LogRocket, you can see exactly what users experienced on your app, as well as DOM playback, console and network logs, errors, and performance data. You can also surface the most impactful user issues with JavaScript errors, network errors, stack traces, automatic triaging, and alerting. LogRocket also provides product analytics to help you understand how users are interacting with your app, and UX analytics to help you visualize how users experience your app at both the individual and aggregate level.

UglyFeed is a simple Python application designed to retrieve, aggregate, filter, rewrite, evaluate, and serve content (RSS feeds) written by a large language model. It provides features such as retrieving RSS feeds, aggregating feed items by similarity, rewriting content using various APIs, saving rewritten feeds to JSON files, converting JSON to valid RSS feed, serving XML feed via an HTTP server, deploying XML feed to GitHub or GitLab, and evaluating generated content. The tool can be used for smart content curation, dynamic blog generation, interactive educational tools, personalized reading experiences, brand monitoring, multilingual content delivery, enhanced RSS feeds, creative writing assistance, content repurposing, and fake news detection datasets. It is modular, extensible, and aims to empower users in content manipulation and delivery.

RSSBrew is a self-hosted RSS tool designed for aggregating multiple RSS feeds, applying custom filters, and generating AI summaries. It allows users to control content through custom filters based on Link, Title, and Description, with various match types and relationship operators. Users can easily combine multiple feeds into a single processed feed and use AI for article summarization and digest creation. The tool supports Docker deployment and regular installation, with ongoing documentation and development. Licensed under AGPL-3.0, RSSBrew is a versatile tool for managing and summarizing RSS content.

ai-digest is a CLI tool designed to aggregate your codebase into a single Markdown file for use with Claude Projects or custom ChatGPTs. It aggregates all files in the specified directory and subdirectories, ignores common build artifacts and configuration files, and provides options for whitespace removal and custom ignore patterns. The tool is useful for preparing codebases for AI analysis and assistance.

Auto-News is an automatic news aggregator tool that utilizes Large Language Models (LLM) to pull information from various sources such as Tweets, RSS feeds, YouTube videos, web articles, Reddit, and journal notes. The tool aims to help users efficiently read and filter content based on personal interests, providing a unified reading experience and organizing information effectively. It features feed aggregation with summarization, transcript generation for videos and articles, noise reduction, task organization, and deep dive topic exploration. The tool supports multiple LLM backends, offers weekly top-k aggregations, and can be deployed on Linux/MacOS using docker-compose or Kubernetes.

DeepSeek is a new experimental architecture for a large language model (LLM) powered internet-scale retrieval engine. Unlike current research agents designed as answer engines, DeepSeek aims to process a vast amount of sources to collect a comprehensive list of entities and enrich them with additional relevant data. The end result is a table with retrieved entities and enriched columns, providing a comprehensive overview of the topic. DeepSeek utilizes both standard keyword search and neural search to find relevant content, and employs an LLM to extract specific entities and their associated contents. It also includes a smaller answer agent to enrich the retrieved data, ensuring thoroughness. DeepSeek has the potential to revolutionize research and information gathering by providing a comprehensive and structured way to access information from the vastness of the internet.

Detoxify is a library that provides trained models and code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification, Unintended Bias in Toxic comments, Multilingual toxic comment classification. It includes models like 'original', 'unbiased', and 'multilingual' trained on different datasets to detect toxicity and minimize bias. The library aims to help in stopping harmful content online by interpreting visual content in context. Users can fine-tune the models on carefully constructed datasets for research purposes or to aid content moderators in flagging out harmful content quicker. The library is built to be user-friendly and straightforward to use.

VMind is an open-source solution for intelligent visualization, providing an intelligent chart component based on LLM by VisActor. It allows users to create chart narrative works with natural language interaction, edit charts through dialogue, and export narratives as videos or GIFs. The tool is easy to use, scalable, supports various chart types, and offers one-click export functionality. Users can customize chart styles, specify themes, and aggregate data using LLM models. VMind aims to enhance efficiency in creating data visualization works through dialogue-based editing and natural language interaction.

GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks. It can produce detailed, factual, and unbiased research reports with customization options. The tool addresses issues of speed, determinism, and reliability by leveraging parallelized agent work. The main idea involves running 'planner' and 'execution' agents to generate research questions, seek related information, and create research reports. GPT Researcher optimizes costs and completes tasks in around 3 minutes. Features include generating long research reports, aggregating web sources, an easy-to-use web interface, scraping web sources, and exporting reports to various formats.

LoRAX is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency. It features dynamic adapter loading, heterogeneous continuous batching, adapter exchange scheduling, optimized inference, and is ready for production with prebuilt Docker images, Helm charts for Kubernetes, Prometheus metrics, and distributed tracing with Open Telemetry. LoRAX supports a number of Large Language Models as the base model including Llama, Mistral, and Qwen, and any of the linear layers in the model can be adapted via LoRA and loaded in LoRAX.

Vespa is a platform that performs operations such as selecting a subset of data in a large corpus, evaluating machine-learned models over the selected data, organizing and aggregating it, and returning it, typically in less than 100 milliseconds, all while the data corpus is continuously changing. It has been in development for many years and is used on a number of large internet services and apps which serve hundreds of thousands of queries from Vespa per second.

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.

The llms-txt repository proposes a standardization on using an `/llms.txt` file to provide information to help large language models (LLMs) use a website at inference time. The `llms.txt` file is a markdown file that offers brief background information, guidance, and links to more detailed information in markdown files. It aims to provide concise and structured information for LLMs to access easily, helping users interact with websites via AI helpers. The repository also includes tools like a CLI and Python module for parsing `llms.txt` files and generating LLM context from them, along with a sample JavaScript implementation. The proposal suggests adding clean markdown versions of web pages alongside the original HTML pages to facilitate LLM readability and access to essential information.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

This repository provides guidance on building a multi-tenant SaaS solution for accessing foundation models using Amazon Bedrock and Amazon SageMaker. It helps enterprise IT teams track usage and costs of foundation models, regulate access, and provide visibility to cost centers. The solution includes an API Gateway design pattern for standardization and governance, enabling loose coupling between model consumers and endpoint services. The CDK Stack deploys resources for private networking, API Gateway, Lambda functions, DynamoDB table, EventBridge, S3 buckets, and Cloudwatch logs.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

AIS-catcher: A multi-platform AIS Receiver

Screen-pipe is a Rust + WASM tool that allows users to turn their screen into actions using Large Language Models (LLMs). It enables users to record their screen 24/7, extract text from frames, and process text and images for tasks like analyzing sales conversations. The tool is still experimental and aims to simplify the process of recording screens, extracting text, and integrating with various APIs for tasks such as filling CRM data based on screen activities. The project is open-source and welcomes contributions to enhance its functionalities and usability.

Bilingual Canadian news aggregator. Canadian News blocked by Facebook and Google? No problem!

A GPT/AI system designed to collect, analyze, and summarize recent news from established media outlets, emphasizing balance in perspectives and precision in content delivery, with a default focus on top breaking news stories, adaptable to user-specified topics.

Geopolitical news aggregator and forecaster

AI news aggregator from top tech sources

Swapzone is a non-custodial instant crypto exchange aggregator that helps users scan the network of registered exchanges globally and gives them a comprehensive list of those that support a particular trading or swap pair.

Retrieve data on DeFi protocols and blockchains