Best AI tools for< Provide Network Insights >

Netify provides network intelligence and visibility. Its solution stack starts with a Deep Packet Inspection (DPI) engine that passively collects data on the local network. This lightweight engine identifies applications, protocols, hostnames, encryption ciphers, and other network attributes. The software can be integrated into network devices for traffic identification, firewalling, QoS, and cybersecurity. Netify's Informatics engine collects data from local DPI engines and uses the power of a public or private cloud to transform it into network intelligence. From device identification to cybersecurity risk detection, Informatics provides a way to take a proactive approach to manage network threats, bottlenecks, and usage. Lastly, Netify's Data Feeds provide data to help vendors understand how applications behave on the Internet.

Ai-SPY is an advanced AI audio detection tool that helps users identify whether speech is human or AI-generated. It offers detailed reports, easy integration with API access, and expert human insights for accurate analysis. Ai-SPY leverages a proprietary neural network to provide unparalleled audio authenticity insights, making it a valuable tool for content verification and manipulation detection.

ITVA is an AI automation tool for network infrastructure products that revolutionizes network management by enabling users to configure, query, and document their network using natural language. It offers features such as rapid configuration deployment, network diagnostics acceleration, automated diagram generation, and modernized IP address management. ITVA's unique solution securely connects to networks, combining real-time data with a proprietary dataset curated by veteran engineers. The tool ensures unparalleled accuracy and insights through its real-time data pipeline and on-demand dynamic analysis capabilities.

Collab is a contact center software that enables digital transformation and helps achieve the right balance between Automation and Human Interaction. It provides enhanced experiences, resolves customer issues quickly and easily, fosters strong and trusty relationships, turns data into powerful insights, and empowers agents. Collab relies on its omnichannel solution, AI, CRM integration, data-driven insights, and empowered teams to provide seamless experiences.

Stream is an AI application developed by the Tensorplex Team to showcase the capabilities of existing Bittensor Subnets in powering consumer Web3 platforms. The application is designed to provide precise summaries and deep insights by utilizing the TPLX-LLM model. Stream offers a curated list of podcasts that are summarized using the Bittensor Network.

The AI x Marketing Conference is a premier event focused on the intersection of artificial intelligence and marketing. It aims to provide attendees with insights, strategies, and hands-on experience to leverage AI for exponential growth in their businesses. The conference features keynote speakers, workshops, real-life case studies, lightning talks, networking opportunities, and more, all tailored to help participants understand and implement AI tools effectively in their marketing strategies.

TubePro is a digital platform designed to provide tools and insights for remote workers, freelancers, and digital professionals. It offers a range of resources to enhance productivity, communication, and digital skills. TubePro aims to support individuals in optimizing their work-from-home experience by offering guides, tutorials, and reviews of various apps and software. Stay connected with the latest trends and tools in the digital workspace through TubePro.

Radiology Business is an AI tool designed to provide insights and solutions for professionals in the radiology field. The platform covers a wide range of topics including management, imaging, technology, and conferences. It offers news, analysis, and resources to help radiologists stay informed and make informed decisions. Radiology Business aims to leverage artificial intelligence to improve workflow efficiency and enhance the overall experience in the radiology ecosystem.

hndltech is an AI platform designed to provide instant personalized mentorship and support for tech-business founders in the MENA region. It offers a collaborative environment where entrepreneurs can share feedback, build ideas, and network. The platform focuses on tech-active markets such as Egypt, Saudi Arabia, UAE, and Jordan, leveraging expertise in Artificial Intelligence (AI) to provide valuable insights and guidance to startup owners.

Trend Hunter is an AI-powered platform that offers a wide range of services to accelerate innovation and provide insights into trends and opportunities. With a vast database of ideas and innovations, Trend Hunter helps individuals and organizations stay ahead of the curve by offering trend reports, newsletters, training programs, and custom services. The platform also provides personalized assessments to enhance innovation potential and offers resources such as books, keynotes, and online courses to foster creativity and strategic thinking.

YC-GPT is an AI-powered mentor designed to assist individuals in growing their startup ventures. It leverages knowledge from Y Combinator (YC) partners and founders to provide valuable advice and guidance. The platform aims to help startups thrive by offering insights and recommendations based on industry expertise.

The Asimov Institute is a non-profit AI research institute focusing on the relationship between deep learning and creativity. They publish fundamental breakthroughs in neural network research, provide insights on the societal and business impact of data and AI, and develop tools for creative professionals in various industries. Their neural networks generate new products, content, suggestions, styles, and ideas, catering to architects, graphic designers, fashion couturiers, marketeers, and music producers.

Credly is a digital credentialing platform that helps organizations issue, manage, and track digital badges and certificates. It provides a network of over 3,500 certification, assessment, and training providers and employers, allowing earners to connect and grow through a catalog of over 90,000 learnings. Credly's solutions include digital credentialing, workforce insights, strategic workforce planning, and candidate assessment.

PR Daily is an AI-powered platform that empowers PR professionals with the latest news, insights, and networking opportunities. It provides a comprehensive resource for industry trends, best practices, and expert advice to enhance communication strategies and campaigns. The platform utilizes artificial intelligence to deliver personalized content, analyze data, and optimize media relations workflows. PR Daily aims to streamline PR processes, improve brand reputation, and drive engagement through innovative AI technologies.

Vitrina Business Network is a global platform that connects entertainment companies worldwide, facilitating interactions between content acquirers, distributors, production, post-production, and localization services. The platform leverages data, AI, and human expertise to enhance business growth within the entertainment supply chain. Vitrina offers services such as content licensing, specialist services hiring, and networking opportunities for industry professionals. Through digital storefronts, users can showcase projects and services, fostering partnerships and business opportunities. The platform also provides market intelligence reports, case studies, and industry insights to help users make informed decisions and stay updated on the latest trends in the entertainment industry.

LinkedIn is a professional networking site that helps users connect with other professionals in their field, find jobs, and learn new skills. It also provides a platform for users to share articles, insights, and updates on their work and career. LinkedIn is a valuable tool for anyone looking to advance their career or stay up-to-date on the latest industry trends.

Linkeddit is an AI-powered tool designed to help users find potential customers on Reddit who are actively seeking solutions. By analyzing millions of conversations in real-time, Linkeddit identifies high-intent prospects discussing relevant product categories. The tool provides curated lists of decision-makers with verified buying intent, engagement metrics, and context to help convert warm leads into customers. Linkeddit also offers features like direct post links, engagement metrics, buying intent score, export-ready lists, and personalized outreach suggestions, enabling users to efficiently connect with the right audience on Reddit.

The website focuses on showcasing groundbreaking research and studies across various scientific disciplines, including physics, biology, computer science, and mental health. It provides detailed insights into innovative projects, technological advancements, and transformative discoveries in the academic and research communities. Users can explore articles on topics such as quantum communication, artificial intelligence applications in healthcare, semiconductor dynamics, mental health support initiatives, and dietary interventions for mental disorders.

REWIN.AI is an AI-powered content creation tool designed to help content creators generate viral YouTube and TikTok scripts in seconds. By simply pasting a video link, users can instantly receive personalized scripts, enhancing their creative workflow and engagement rates. The tool aims to streamline the content creation process and provide effortless originality, time efficiency, and consistent creativity for users.

SiteSpect is an AI-driven platform that offers A/B testing, personalization, and optimization solutions for businesses. It provides capabilities such as analytics, visual editor, mobile support, and AI-driven product recommendations. SiteSpect helps businesses validate ideas, deliver personalized experiences, manage feature rollouts, and make data-driven decisions. With a focus on conversion and revenue success, SiteSpect caters to marketers, product managers, developers, network operations, retailers, and media & entertainment companies. The platform ensures faster site performance, better data accuracy, scalability, and expert support for secure and certified optimization.

Azure OpenAI Service is a central capability with Azure API Management, providing guidance and tools for organizations to implement Azure OpenAI in a production environment with an emphasis on cost control, secure access, and usage monitoring. It includes infrastructure-as-code templates, CI/CD pipelines, secure access management, usage monitoring, load balancing, streaming requests, and end-to-end samples like ChatApp and Azure Dashboards.

Quantus is a toolkit designed for the evaluation of neural network explanations. It offers more than 30 metrics in 6 categories for eXplainable Artificial Intelligence (XAI) evaluation. The toolkit supports different data types (image, time-series, tabular, NLP) and models (PyTorch, TensorFlow). It provides built-in support for explanation methods like captum, tf-explain, and zennit. Quantus is under active development and aims to provide a comprehensive set of quantitative evaluation metrics for XAI methods.

LLM-Viewer is a tool for visualizing Language and Learning Models (LLMs) and analyzing performance on different hardware platforms. It enables network-wise analysis, considering factors such as peak memory consumption and total inference time cost. With LLM-Viewer, users can gain valuable insights into LLM inference and performance optimization. The tool can be used in a web browser or as a command line interface (CLI) for easy configuration and visualization. The ongoing project aims to enhance features like showing tensor shapes, expanding hardware platform compatibility, and supporting more LLMs with manual model graph configuration.

AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework designed to provide deep insights into AI agents, Large Language Model (LLM) calls, and tool interactions. It offers robust logging, visualization, and evaluation capabilities to help debug and optimize AI applications with ease. With features like tracing LLM calls, monitoring agents and tools, tracking interactions, detailed metrics collection, flexible data storage, simple instrumentation, interactive dashboard, project management, execution graph visualization, and evaluation tools, AgentNeo empowers users to build efficient, cost-effective, and high-quality AI-driven solutions.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

This repository is a collection of papers and resources related to recommendation systems, focusing on foundation models, transferable recommender systems, large language models, and multimodal recommender systems. It explores questions such as the necessity of ID embeddings, the shift from matching to generating paradigms, and the future of multimodal recommender systems. The papers cover various aspects of recommendation systems, including pretraining, user representation, dataset benchmarks, and evaluation methods. The repository aims to provide insights and advancements in the field of recommendation systems through literature reviews, surveys, and empirical studies.

Transformers_And_LLM_Are_What_You_Dont_Need is a repository that explores the limitations of transformers in time series forecasting. It contains a collection of papers, articles, and theses discussing the effectiveness of transformers and LLMs in this domain. The repository aims to provide insights into why transformers may not be the best choice for time series forecasting tasks.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.

The 'awesome-air-quality' repository is a curated list of software libraries, tools, and resources related to air quality data acquisition, analysis, and visualization. It includes libraries in various programming languages such as Python, Java, R, and C#, as well as hardware drivers and software for gas sensors and particulate matter sensors. The repository aims to provide a comprehensive collection of tools for working with air quality data from different sources and for different purposes.

Resume Job Matcher is a Python script that automates the process of matching resumes to a job description using AI. It leverages the Anthropic Claude API or OpenAI's GPT API to analyze resumes and provide a match score along with personalized email responses for candidates. The tool offers comprehensive resume processing, advanced AI-powered analysis, in-depth evaluation & scoring, comprehensive analytics & reporting, enhanced candidate profiling, and robust system management. Users can customize font presets, generate PDF versions of unified resumes, adjust logging level, change scoring model, modify AI provider, and adjust AI model. The final score for each resume is calculated based on AI-generated match score and resume quality score, ensuring content relevance and presentation quality are considered. Troubleshooting tips, best practices, contribution guidelines, and required Python packages are provided.

The Conversation Knowledge Mining Solution Accelerator enables customers to leverage intelligence to uncover insights, relationships, and patterns from conversational data. It empowers users to gain valuable knowledge and drive targeted business impact by utilizing Azure AI Foundry, Azure OpenAI, Microsoft Fabric, and Azure Search for topic modeling, key phrase extraction, speech-to-text transcription, and interactive chat experiences.

AI-powered call center solution with Azure and OpenAI GPT. The bot can answer calls, understand the customer's request, and provide relevant information or assistance. It can also create a todo list of tasks to complete the claim, and send a report after the call. The bot is customizable, and can be used in multiple languages.

Zep is a long-term memory service for AI Assistant apps. With Zep, you can provide AI assistants with the ability to recall past conversations, no matter how distant, while also reducing hallucinations, latency, and cost. Zep persists and recalls chat histories, and automatically generates summaries and other artifacts from these chat histories. It also embeds messages and summaries, enabling you to search Zep for relevant context from past conversations. Zep does all of this asyncronously, ensuring these operations don't impact your user's chat experience. Data is persisted to database, allowing you to scale out when growth demands. Zep also provides a simple, easy to use abstraction for document vector search called Document Collections. This is designed to complement Zep's core memory features, but is not designed to be a general purpose vector database. Zep allows you to be more intentional about constructing your prompt: 1. automatically adding a few recent messages, with the number customized for your app; 2. a summary of recent conversations prior to the messages above; 3. and/or contextually relevant summaries or messages surfaced from the entire chat session. 4. and/or relevant Business data from Zep Document Collections.

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.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

OneKE is a flexible dockerized system for schema-guided knowledge extraction, capable of extracting information from the web and raw PDF books across multiple domains like science and news. It employs a collaborative multi-agent approach and includes a user-customizable knowledge base to enable tailored extraction. OneKE offers various IE tasks support, data sources support, LLMs support, extraction method support, and knowledge base configuration. Users can start with examples using YAML, Python, or Web UI, and perform tasks like Named Entity Recognition, Relation Extraction, Event Extraction, Triple Extraction, and Open Domain IE. The tool supports different source formats like Plain Text, HTML, PDF, Word, TXT, and JSON files. Users can choose from various extraction models like OpenAI, DeepSeek, LLaMA, Qwen, ChatGLM, MiniCPM, and OneKE for information extraction tasks. Extraction methods include Schema Agent, Extraction Agent, and Reflection Agent. The tool also provides support for schema repository and case repository management, along with solutions for network issues. Contributors to the project include Ningyu Zhang, Haofen Wang, Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, and Huajun Chen.

OpenRL is an open-source general reinforcement learning research framework that supports training for various tasks such as single-agent, multi-agent, offline RL, self-play, and natural language. Developed based on PyTorch, the goal of OpenRL is to provide a simple-to-use, flexible, efficient and sustainable platform for the reinforcement learning research community. It supports a universal interface for all tasks/environments, single-agent and multi-agent tasks, offline RL training with expert dataset, self-play training, reinforcement learning training for natural language tasks, DeepSpeed, Arena for evaluation, importing models and datasets from Hugging Face, user-defined environments, models, and datasets, gymnasium environments, callbacks, visualization tools, unit testing, and code coverage testing. It also supports various algorithms like PPO, DQN, SAC, and environments like Gymnasium, MuJoCo, Atari, and more.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

Provides up to date SEI Network Info, including market data

Expert in Zero Trust security, providing insights and guidance.

Orientações e directrizes no domínio da regulamentação nacional e da UE e regulação das comunicações electrónicas móveis e fixas (e infraestruturas associadas) e serviços digitais (incluindo cloud, IA, metaverso ou IoT)

A helper that will provide some insight in case you get stuck trying to solve a machine on HTB or a CTF.

Simply type "news" for easy to digest updates in the Healthcare industry, or be as specific as you want and get the top healthcare news from reliable sources. Healthtech, patient care, insurance policies, provider networks, value based care, behavioral health, condition management, therapy.

I assist network marketers in managing and developing their business by providing training, advice, and strategies to grow their team.

Expert tech support for Hispanic businesses in Miami.

Third-line technical support engineer, providing advanced IT assistance.

Free Technical Support GPT by Franz Enzenhofer

I help you with all your sysadmin tasks, from setting up your server to scaling your already exsisting one. I can help you with understanding the long list of log files and give you solutions to the problems.

Guides DNS updates for site migrations.

Expert in amateur and professional radio communications.

Interactive Cybersecurity Tutor capable of autonomous management of your knowledge.

Manages and utilizes user-provided information for social networking.

Your tutor for Cisco CCNA certification, it will provides clear and concise exam topics explanations. Are looking for exam questions examples or exam prep? just ask :)

Deep learning teacher explaining neural networks in Chinese with an engaging, humorous tone.

Generates artistic hacker and cybersecurity themed visuals.

Tech expert helping improve your internet speed

Guide to ethical hacking, specializing in NMAP | For Educational Purposes Only | CSV Upload Suggested |

provide a number ,you will find the answer