Best AI tools for< Scale Self-support >

Userpilot is an all-in-one product growth platform that helps product teams activate more users, increase feature adoption, and drive expansion revenue. It offers solutions for product analytics, user engagement, user feedback, user onboarding, product adoption, customer retention, and product-led growth. With Userpilot, companies can run in-product growth experiments, scale self-support with in-app support, and understand user behavior across the product journey. The platform aims to help businesses build engaged user bases, reduce churn, and optimize key metrics for product success.

Intercom is a customer engagement platform that helps businesses build better relationships with their customers through personalized messaging, automated support, and self-service help. Intercom's knowledge base software is a powerful tool that allows businesses to create and manage a comprehensive knowledge base that can help customers find answers to their questions quickly and easily. With Intercom's knowledge base software, businesses can reduce support volume, increase efficiency, and deliver personalized support at scale.

Haptik is a Conversational CRM platform powered by Generative AI, offering a suite of AI-powered solutions for customer experience, sales assistance, and self-serve support. It seamlessly integrates Generative AI into marketing, support, and operations to drive business efficiency at scale. Trusted by 500+ leading brands, Haptik provides bespoke AI solutions tailored to unique enterprise requirements across various industries. The platform leverages Generative AI to offer intelligent analytics, user behavior insights, and low code builder tools for creating conversational experiences across multiple channels like WhatsApp, Instagram, Messenger, Google Business Messages, and more.

Faye is a Web3 customer success helpdesk chatbot that aims to revolutionize Web3 customer support by automating, scaling, and optimizing customer success processes. Powered by self-learning AI technology, Faye specializes in smart contracts for accurate troubleshooting, with a focus on on-chain activities. The chatbot boasts a high response accuracy rate and the ability to support a large number of users simultaneously. Faye offers an intuitive customer support flow, proprietary indexing engine for on-chain transactions, conversational AI capabilities, and an all-in-one admin dashboard for streamlined workflow management.

Prolific is a platform that allows users to quickly find research participants they can trust. It offers free representative samples, a participant pool of domain experts, the ability to bring your own participants, an API for integration, and polling features. Prolific provides high-quality human-powered datasets in less than 2 hours, trusted by over 3000 organizations. With a pool of 200,000+ active and verified participants, Prolific ensures data quality by monitoring and managing responses with various checks. The platform is self-serve, easy to use, and supports academic research, AI training & evaluation, research & development, market research, and polling.

Hippo Video is an AI-powered video platform designed for Go-To-Market (GTM) teams. It offers a comprehensive solution for sales, marketing, campaigns, customer support, and communications. The platform enables users to create interactive videos easily and quickly, transform text into videos at scale, and personalize video campaigns. With features like Text-to-Video, AI Avatar Video Generator, Video Flows, and AI Editor, Hippo Video helps businesses enhance engagement, accelerate video production, and improve customer self-service.

AnsweriQ is an AI-powered platform that revolutionizes customer service and support by offering self-service AI and agent AI solutions. It automates customer queries, reduces handle times, and improves customer satisfaction through intelligent automation and assistance. AnsweriQ helps businesses decrease case volume, lower costs, scale customer service, and boost agent productivity. By harnessing the power of AI and RPA, AnsweriQ transforms traditional customer service processes, making them more efficient and effective.

42Signals is an AI-powered solution suite designed for consumer brands to anticipate consumer demand, track competition, optimize digital shelves, and increase online sales. The platform provides eCommerce insights on price trends, product stocks, and customer reviews. It offers features such as Digital Shelf Analytics, Voice of Customer Analytics, and Self-Service Dashboards to help brands win in the online retail environment. With a focus on accuracy, speed, and scale, 42Signals leverages AI and ML technologies to deliver sustainable solutions and prompt customer support.

PageWise AI is an AI application that provides instant insight into Confluence data by turning tedious searches and repetitive questions into intuitive AI-powered conversations directly in Slack. It offers effortless integration with Slack and Confluence accounts, eliminates the need for sifting through pages, reduces repetitive queries, connects hidden insights within Confluence pages, boosts communication, and scales with business needs. PageWise AI offers flexible pricing plans catering to different team sizes and requirements, with the option for custom integrations, data sources, and self-hosted solutions for enterprise users.

Scale AI is an AI tool that accelerates the development of AI applications for enterprise, government, and automotive sectors. It offers Scale Data Engine for generative AI, Scale GenAI Platform, and evaluation services for model developers. The platform leverages enterprise data to build sustainable AI programs and partners with leading AI models. Scale's focus on generative AI applications, data labeling, and model evaluation sets it apart in the AI industry.

Scale AI is an AI tool that accelerates the development of AI applications for various sectors including enterprise, government, and automotive industries. It offers solutions for training models, fine-tuning, generative AI, and model evaluations. Scale Data Engine and GenAI Platform enable users to leverage enterprise data effectively. The platform collaborates with leading AI models and provides high-quality data for public and private sector applications.

Shield AI is a defense technology company building the world's best AI pilot, Hivemind, to enable swarms of drones and aircraft to operate autonomously without GPS, communications, or a pilot. Their mission is to protect service members and civilians with intelligent systems. Hivemind is a top gun for every aircraft, more than just preset behaviors and waypoints. Like a human pilot, Hivemind reads and reacts to the battlefield and does not require GPS, waypoints, or prior knowledge to make decisions. It is the first and only fully autonomous AI pilot deployed in combat since 2018. From indoor building clearance with quadcopters to integrated air defense breach with fixed-wing drones and F-16 dogfights, Hivemind learns and autonomously executes missions. Shield AI also offers V-BAT teams, which enable multiple V-BATs to autonomously execute missions in electronically contested environments while reading and reacting to adversaries, the environment, and the other V-BATs executing the mission. V-BAT is combat-tested and deployed since 2018, and it flies in a class of its own. It's the most tactical, most logistically simple VTOL aircraft in the world, capable of executing group 2 to group 5 mission sets. It is the UAS of choice for US and allied forces. Nova 2 is built for the future fight and has proven its value in close-quarters combat with the most demanding customers in the world – on the most high-profile missions. Hivemind gives Nova 2 full autonomy - no GPS, no comms, no pilot needed.

Tangram Vision is a company that provides sensor calibration tools and infrastructure for robotics and autonomous vehicles. Their products include MetriCal, a high-speed bundle adjustment software for precise sensor calibration, and AutoCal, an on-device, real-time calibration health check and adjustment tool. Tangram Vision also offers a high-resolution depth sensor called HiFi, which combines high-resolution depth data with high-powered AI capabilities. The company's mission is to accelerate the development and deployment of autonomous systems by providing the tools and infrastructure needed to ensure the accuracy and reliability of sensors.

Gamelight is a revolutionary AI platform designed for mobile games marketing. It utilizes advanced algorithms to analyze app usage data and users' behavior, creating detailed user profiles and delivering personalized game recommendations. The platform also includes a loyalty program that rewards users for gameplay duration, fostering engagement and retention. Gamelight's ROAS Algorithm identifies users with the highest likelihood of making a purchase on your game, providing a competitive advantage in user acquisition. With features like age & gender targeting, vertical targeting, competitor game targeting, and lookalike targeting, Gamelight offers a comprehensive solution for acquiring high-quality users at scale.

Screenloop is an applicant tracking system (ATS) that goes beyond traditional tracking systems by offering interview intelligence, AI notes, and more at a fraction of the cost. It is designed to help businesses win top candidates, scale seamlessly, and use powerful AI to streamline operations and reduce costs. Screenloop's Talent Operations Platform provides access to a full suite of tools, including applicant tracking, interview intelligence, pulse surveys, background checks, referencing, interviewer training, data & analytics, and more.

Pangea.ai is a leading talent aggregator that helps businesses hire quality technologists by comparing data points for reliable matching. It offers a unified hiring experience in a fragmented market, making it easier to compare and decide among the numerous software development agencies and talent networks available. Pangea.ai's intelligent matching system considers over 100 data points to find the best fit for businesses, while its rigorous vetting process evaluates expertise, client satisfaction, and team health. Businesses can choose to self-serve their way to a hire or opt for Pangea.ai's white-glove matching service.

TrueAccord is an industry-leading recovery and collections platform powered by machine learning and a consumer-friendly digital experience. It offers third-party collection services for better relationships and faster recoveries through engagement, commitment, and resolution. TrueAccord's platform can handle delinquency needs from one day past due through charge off, with features like HeartBeat for better results, self-serve digital experience for consumers, scalability in delinquency infrastructure, and end-to-end personalization. The platform is trusted by market leaders and loved by consumers, providing a full-service digital-first debt collection agency.

Knowmax is an omnichannel knowledge management platform that helps businesses improve customer experience (CX) by providing AI-powered knowledge management capabilities. It offers a range of features such as a Google-like search engine for accessing relevant knowledge across touchpoints, no-code cognitive decision trees for creating simple and mistake-proof customer service actions, visual how-to guides for minimizing repetitive explanations, and an omnichannel-ready knowledge base for creating self-help guides. Knowmax also integrates with CRM systems to deliver faster and personalized resolutions at scale. It is used by businesses in various industries, including telecom, banking, BPO, insurance, e-commerce, media & ISP, healthcare, travel, automobiles, and utilities.

ThoughtSpot is an AI-powered analytics platform that enables users to deliver insights 10x faster for their employees. It offers AI-powered search capabilities, natural language search, live querying of data, building search data models, balancing self-service with enterprise-scale control, visualizing business data, operationalizing data sync to business apps, and mobile access. The platform also provides features for creating visualizations from spreadsheets, staying up to date with product news, embedding analytics into apps, building ThoughtSpot apps and API services, and generating more revenue with embedded analytics. ThoughtSpot is designed to provide fast, actionable insights with a focus on user experience and self-service analytics.

MixMode is the world's most advanced AI for threat detection, offering a dynamic threat detection platform that utilizes patented Third Wave AI technology. It provides real-time detection of known and novel attacks with high precision, self-supervised learning capabilities, and context-awareness to defend against modern threats. MixMode empowers modern enterprises with unprecedented speed and scale in threat detection, delivering unrivaled capabilities without the need for predefined rules or human input. The platform is trusted by top security teams and offers rapid deployment, customization to individual network dynamics, and state-of-the-art AI-driven threat detection.

The 'unilm' repository is a collection of tools, models, and architectures for Foundation Models and General AI, focusing on tasks such as NLP, MT, Speech, Document AI, and Multimodal AI. It includes various pre-trained models, such as UniLM, InfoXLM, DeltaLM, MiniLM, AdaLM, BEiT, LayoutLM, WavLM, VALL-E, and more, designed for tasks like language understanding, generation, translation, vision, speech, and multimodal processing. The repository also features toolkits like s2s-ft for sequence-to-sequence fine-tuning and Aggressive Decoding for efficient sequence-to-sequence decoding. Additionally, it offers applications like TrOCR for OCR, LayoutReader for reading order detection, and XLM-T for multilingual NMT.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

Torch-Pruning (TP) is a library for structural pruning that enables pruning for a wide range of deep neural networks. It uses an algorithm called DepGraph to physically remove parameters. The library supports pruning off-the-shelf models from various frameworks and provides benchmarks for reproducing results. It offers high-level pruners, dependency graph for automatic pruning, low-level pruning functions, and supports various importance criteria and modules. Torch-Pruning is compatible with both PyTorch 1.x and 2.x versions.

AppFlowy.IO is an open-source alternative to Notion, providing users with control over their data and customizations. It aims to offer functionality, data security, and cross-platform native experience to individuals, as well as building blocks and collaboration infra services to enterprises and hackers. The tool is built with Flutter and Rust, supporting multiple platforms and emphasizing long-term maintainability. AppFlowy prioritizes data privacy, reliable native experience, and community-driven extensibility, aiming to democratize the creation of complex workplace management tools.

SwanLab is an open-source, lightweight AI experiment tracking tool that provides a platform for tracking, comparing, and collaborating on experiments, aiming to accelerate the research and development efficiency of AI teams by 100 times. It offers a friendly API and a beautiful interface, combining hyperparameter tracking, metric recording, online collaboration, experiment link sharing, real-time message notifications, and more. With SwanLab, researchers can document their training experiences, seamlessly communicate and collaborate with collaborators, and machine learning engineers can develop models for production faster.

PatchWork is an open-source framework designed for automating development tasks using large language models. It enables users to automate workflows such as PR reviews, bug fixing, security patching, and more through a self-hosted CLI agent and preferred LLMs. The framework consists of reusable atomic actions called Steps, customizable LLM prompts known as Prompt Templates, and LLM-assisted automations called Patchflows. Users can run Patchflows locally in their CLI/IDE or as part of CI/CD pipelines. PatchWork offers predefined patchflows like AutoFix, PRReview, GenerateREADME, DependencyUpgrade, and ResolveIssue, with the flexibility to create custom patchflows. Prompt templates are used to pass queries to LLMs and can be customized. Contributions to new patchflows, steps, and the core framework are encouraged, with chat assistants available to aid in the process. The roadmap includes expanding the patchflow library, introducing a debugger and validation module, supporting large-scale code embeddings, parallelization, fine-tuned models, and an open-source GUI. PatchWork is licensed under AGPL-3.0 terms, while custom patchflows and steps can be shared using the Apache-2.0 licensed patchwork template repository.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

Bittensor is an internet-scale neural network that incentivizes computers to provide access to machine learning models in a decentralized and censorship-resistant manner. It operates through a token-based mechanism where miners host, train, and procure machine learning systems to fulfill verification problems defined by validators. The network rewards miners and validators for their contributions, ensuring continuous improvement in knowledge output. Bittensor allows anyone to participate, extract value, and govern the network without centralized control. It supports tasks such as generating text, audio, images, and extracting numerical representations.

LitServe is a high-throughput serving engine designed for deploying AI models at scale. It generates an API endpoint for models, handles batching, streaming, and autoscaling across CPU/GPUs. LitServe is built for enterprise scale with a focus on minimal, hackable code-base without bloat. It supports various model types like LLMs, vision, time-series, and works with frameworks like PyTorch, JAX, Tensorflow, and more. The tool allows users to focus on model performance rather than serving boilerplate, providing full control and flexibility.

AgentScope is a multi-agent platform designed to empower developers to build multi-agent applications with large-scale models. It features three high-level capabilities: Easy-to-Use, High Robustness, and Actor-Based Distribution. AgentScope provides a list of `ModelWrapper` to support both local model services and third-party model APIs, including OpenAI API, DashScope API, Gemini API, and ollama. It also enables developers to rapidly deploy local model services using libraries such as ollama (CPU inference), Flask + Transformers, Flask + ModelScope, FastChat, and vllm. AgentScope supports various services, including Web Search, Data Query, Retrieval, Code Execution, File Operation, and Text Processing. Example applications include Conversation, Game, and Distribution. AgentScope is released under Apache License 2.0 and welcomes contributions.

LitServe is a high-throughput serving engine for deploying AI models at scale. It generates an API endpoint for a model, handles batching, streaming, autoscaling across CPU/GPUs, and more. Built for enterprise scale, it supports every framework like PyTorch, JAX, Tensorflow, and more. LitServe is designed to let users focus on model performance, not the serving boilerplate. It is like PyTorch Lightning for model serving but with broader framework support and scalability.

The LiveKit Agent Framework is designed for building real-time, programmable participants that run on servers. Easily tap into LiveKit WebRTC sessions and process or generate audio, video, and data streams. The framework includes plugins for common workflows, such as voice activity detection and speech-to-text. Agents integrates seamlessly with LiveKit server, offloading job queuing and scheduling responsibilities to it. This eliminates the need for additional queuing infrastructure. Agent code developed on your local machine can scale to support thousands of concurrent sessions when deployed to a server in production.

Gateway is a tool that streamlines requests to 100+ open & closed source models with a unified API. It is production-ready with support for caching, fallbacks, retries, timeouts, load balancing, and can be edge-deployed for minimum latency. It is blazing fast with a tiny footprint, supports load balancing across multiple models, providers, and keys, ensures app resilience with fallbacks, offers automatic retries with exponential fallbacks, allows configurable request timeouts, supports multimodal routing, and can be extended with plug-in middleware. It is battle-tested over 300B tokens and enterprise-ready for enhanced security, scale, and custom deployments.

LitData is a tool designed for blazingly fast, distributed streaming of training data from any cloud storage. It allows users to transform and optimize data in cloud storage environments efficiently and intuitively, supporting various data types like images, text, video, audio, geo-spatial, and multimodal data. LitData integrates smoothly with frameworks such as LitGPT and PyTorch, enabling seamless streaming of data to multiple machines. Key features include multi-GPU/multi-node support, easy data mixing, pause & resume functionality, support for profiling, memory footprint reduction, cache size configuration, and on-prem optimizations. The tool also provides benchmarks for measuring streaming speed and conversion efficiency, along with runnable templates for different data types. LitData enables infinite cloud data processing by utilizing the Lightning.ai platform to scale data processing with optimized machines.

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