Best AI tools for< Support Families >

Empathy is a comprehensive support system designed to help families navigate through life's most challenging moments, particularly in times of loss. The platform offers personalized Care Plans, time-saving tools, grief support resources, and assistance with probate processes. Empathy aims to reduce stress and financial burden for families by providing emotional and logistical support. The application is trusted by leading organizations and is dedicated to supporting individuals regardless of age, race, religion, ethnicity, gender identity, or sexual orientation.

Wysa is an AI-powered mental health application that provides immediate support through clinically validated AI chat conversations. It offers anonymous and unlimited care to help individuals work through worries, stressors, and symptoms of depression or anxiety. Wysa also provides structured programs, on-demand self-care exercises, and access to professional support for users in need. The application aims to transform how teams and families feel supported by leveraging AI technology to improve mental health outcomes globally.

AskEllyn.ai is an AI-powered platform designed to provide support, information, and engagement for individuals and families navigating the challenging journey of breast cancer. The platform offers a range of resources, including chat support, blog articles, and partner recommendations, to help users cope with the emotional and practical aspects of dealing with breast cancer. AskEllyn.ai aims to be a comforting companion and a source of valuable insights for those affected by breast cancer.

Naria is a platform that turns your imagination into beautiful stories, allowing you to create captivating characters and vivid storylines that entertain, inspire, and bring families closer together. Users can easily craft their own stories by uploading photos or using text and emojis to create characters, describing scenes, and sharing stories digitally or in hardcover versions. Naria offers various pricing options for creating digital and physical stories, with a focus on fostering creativity and imagination in both children and adults.

Stockphotos.com is a user-friendly stock agency offering millions of images for commercial use. The website provides unlimited downloads, AI-powered creative tools, and a variety of media resources. Users can access stock images, illustrations, footage, icons, fonts, and smart tools to enhance their creativity. Stockphotos.com also offers competitive pricing, helpful customer support, and a fair usage policy. With features like Magic AI Edits, AI Search, Background Remover, AI Upscaler, and Every Generator, users can easily enhance and manipulate images. The website caters to individuals, families, businesses, and creative professionals looking for high-quality, affordable stock media.

WhatLetter is an AI-powered document translation tool designed to help immigrant families and seniors navigate important paperwork without language barriers. Users can simply snap a photo of any document to get instant insights, chat with an AI chatbot in their preferred language, and translate various types of documents such as personal, business, technical, and travel-related materials. WhatLetter prioritizes user privacy by not saving images on servers and retaining chat history solely for user reference. The tool supports 30+ languages and offers features like WhatsApp and Telegram integration for enhanced document understanding.

Support AI is a custom AI chatbot application powered by ChatGPT that allows website owners to create personalized chatbots to provide instant answers to customers, capture leads, and enhance customer support. With Support AI, users can easily integrate AI chatbots on their websites, train them with specific content, and customize their behavior and responses. The application offers features such as capturing leads, providing accurate answers, handling bookings, collecting feedback, and offering product recommendations. Users can choose from different pricing plans based on their message volume and training content needs.

AI Chatbot Support is an autonomous AI and live chat customer service application that provides magic customer experiences by connecting websites, social media, and business messaging platforms. It offers multi-platform support, auto language translation, rich messaging features, smart-reply suggestions, and platform-agnostic AI assistance. The application is designed to enhance customer engagement, satisfaction, and retention across digital platforms through personalized experiences and swift query resolutions.

This AI-powered customer support chatbot is a cutting-edge tool that transforms customer engagement and drives revenue growth. It leverages advanced natural language processing (NLP) and machine learning algorithms to provide personalized, real-time support to customers across multiple channels. By automating routine inquiries, resolving complex issues, and offering proactive assistance, this chatbot empowers businesses to enhance customer satisfaction, increase conversion rates, and optimize their support operations.

Anthropic is a research and deployment company founded in 2021 by former OpenAI researchers Dario Amodei, Daniela Amodei, and Geoffrey Irving. The company is developing large language models, including Claude, a multimodal AI model that can perform a variety of language-related tasks, such as answering questions, generating text, and translating languages.

Wondershare Help Center provides comprehensive support for Wondershare products, including video editing, video creation, diagramming, PDF solutions, and data management. It offers a wide range of resources such as tutorials, FAQs, troubleshooting guides, and access to customer support.

Rank Math is an AI-powered SEO tool that helps you optimize your website for search engines. It offers a variety of features to help you improve your website's ranking, including keyword research, on-page optimization, and link building. Rank Math also provides detailed analytics to help you track your progress and identify areas for improvement.

Meetgeek.ai is an AI-powered platform designed to enhance virtual meetings and conferences. It offers a range of features to streamline the meeting experience, such as integrations with popular conferencing tools, detailed guides on settings and features, and regular updates to improve functionality. With a focus on user-friendly interfaces and seamless communication, Meetgeek.ai aims to revolutionize the way teams collaborate remotely.

Pulse is a world-class expert support tool for BigData stacks, specifically focusing on ensuring the stability and performance of Elasticsearch and OpenSearch clusters. It offers early issue detection, AI-generated insights, and expert support to optimize performance, reduce costs, and align with user needs. Pulse leverages AI for issue detection and root-cause analysis, complemented by real human expertise, making it a strategic ally in search cluster management.

Unthread is an AI-powered support tool designed to streamline and automate customer support processes within Slack. It offers features such as AI-generated support responses, shared email inbox integration, in-app live chat, and ticket tracking. Unthread helps teams prioritize, assign, and resolve support tickets efficiently by leveraging AI technology. It also allows for seamless integration with task managers, CRMs, and other tools to enhance support workflows.

Capacity is an AI-powered support automation platform that offers a wide range of features to streamline customer support processes. It provides self-service options, chatbots, knowledge base management, voice biometrics, CRM automation, live chat, and more. The platform is designed to enhance customer interactions, automate workflows, and improve overall efficiency in customer support operations. Capacity is trusted by over 2,000 organizations, ranging from small brands to large enterprises, and is known for its user-friendly interface and secure compliance with data protection regulations.

LiveChat is a customer service software application that provides businesses with tools to enhance customer support and sales across multiple communication channels. It offers features such as AI chatbots, helpdesk support, knowledge base, and widgets to automate and improve customer interactions. LiveChat aims to help businesses boost customer satisfaction, increase sales, and retain customers longer through efficient and personalized support.

Moveworks is an AI-powered employee support platform that automates tasks, provides information, and creates content across various business applications. It offers features such as task automation, ticket automation, enterprise search, data lookups, knowledge management, employee notifications, approval workflows, and internal communication. Moveworks integrates with numerous business applications and is trusted by over 5 million employees at 300+ companies.

Zaia is an AI tool designed to automate support and sales processes using Autonomous Artificial Intelligence Agents. It enables businesses to enhance customer interactions and streamline sales operations through intelligent automation. With Zaia, companies can leverage AI technology to provide efficient and personalized customer service, leading to improved customer satisfaction and increased sales revenue.

Mava is a customer support platform that uses AI to help businesses manage their support operations. It offers a range of features, including a shared inbox, a Discord bot, and a knowledge base. Mava is designed to help businesses scale their support operations and improve their customer satisfaction.

WebLLM is a modular and customizable javascript package that directly brings language model chats directly onto web browsers with hardware acceleration. Everything runs inside the browser with no server support and is accelerated with WebGPU. WebLLM is fully compatible with OpenAI API. That is, you can use the same OpenAI API on any open source models locally, with functionalities including json-mode, function-calling, streaming, etc. We can bring a lot of fun opportunities to build AI assistants for everyone and enable privacy while enjoying GPU acceleration.

DashInfer is a C++ runtime tool designed to deliver production-level implementations highly optimized for various hardware architectures, including x86 and ARMv9. It supports Continuous Batching and NUMA-Aware capabilities for CPU, and can fully utilize modern server-grade CPUs to host large language models (LLMs) up to 14B in size. With lightweight architecture, high precision, support for mainstream open-source LLMs, post-training quantization, optimized computation kernels, NUMA-aware design, and multi-language API interfaces, DashInfer provides a versatile solution for efficient inference tasks. It supports x86 CPUs with AVX2 instruction set and ARMv9 CPUs with SVE instruction set, along with various data types like FP32, BF16, and InstantQuant. DashInfer also offers single-NUMA and multi-NUMA architectures for model inference, with detailed performance tests and inference accuracy evaluations available. The tool is supported on mainstream Linux server operating systems and provides documentation and examples for easy integration and usage.

The Missing Persons 2024 Antifinance Bill Demonstrations Kenya database is an AI-powered platform designed to track and identify individuals who have gone missing during the ongoing protests. It aims to assist in reuniting families by providing a centralized online resource for all Kenyans. The platform allows for crowdsourced information upload, monitoring disappearances, and tracking unidentified bodies to create a comprehensive database. Key features include a user-friendly interface, AI-powered search, real-time updates, secure handling of data, and detailed reporting.

JavaScript tokenizer for LLaMA 3 designed for client-side use in the browser and Node, with TypeScript support. It accurately calculates token count, has 0 dependencies, optimized running time, and somewhat optimized bundle size. Compatible with most LLaMA 3 models. Can encode and decode text, but training is not supported. Pollutes global namespace with `llama3Tokenizer` in the browser. Mostly compatible with LLaMA 3 models released by Facebook in April 2024. Can be adapted for incompatible models by passing custom vocab and merge data. Handles special tokens and fine tunes. Developed by belladore.ai with contributions from xenova, blaze2004, imoneoi, and ConProgramming.

Torchtune is a PyTorch-native library for easily authoring, fine-tuning, and experimenting with LLMs. It provides native-PyTorch implementations of popular LLMs using composable and modular building blocks, easy-to-use and hackable training recipes for popular fine-tuning techniques, YAML configs for easily configuring training, evaluation, quantization, or inference recipes, and built-in support for many popular dataset formats and prompt templates to help you quickly get started with training.

This is the official repository for 'Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing'. Magpie is a tool designed to synthesize high-quality instruction data at scale by extracting it directly from an aligned Large Language Models (LLMs). It aims to democratize AI by generating large-scale alignment data and enhancing the transparency of model alignment processes. Magpie has been tested on various model families and can be used to fine-tune models for improved performance on alignment benchmarks such as AlpacaEval, ArenaHard, and WildBench.

LocalAI is a free and open-source OpenAI alternative that acts as a drop-in replacement REST API compatible with OpenAI (Elevenlabs, Anthropic, etc.) API specifications for local AI inferencing. It allows users to run LLMs, generate images, audio, and more locally or on-premises with consumer-grade hardware, supporting multiple model families and not requiring a GPU. LocalAI offers features such as text generation with GPTs, text-to-audio, audio-to-text transcription, image generation with stable diffusion, OpenAI functions, embeddings generation for vector databases, constrained grammars, downloading models directly from Huggingface, and a Vision API. It provides a detailed step-by-step introduction in its Getting Started guide and supports community integrations such as custom containers, WebUIs, model galleries, and various bots for Discord, Slack, and Telegram. LocalAI also offers resources like an LLM fine-tuning guide, instructions for local building and Kubernetes installation, projects integrating LocalAI, and a how-tos section curated by the community. It encourages users to cite the repository when utilizing it in downstream projects and acknowledges the contributions of various software from the community.

x-crawl is a flexible Node.js AI-assisted crawler library that offers powerful AI assistance functions to make crawler work more efficient, intelligent, and convenient. It consists of a crawler API and various functions that can work normally even without relying on AI. The AI component is currently based on a large AI model provided by OpenAI, simplifying many tedious operations. The library supports crawling dynamic pages, static pages, interface data, and file data, with features like control page operations, device fingerprinting, asynchronous sync, interval crawling, failed retry handling, rotation proxy, priority queue, crawl information control, and TypeScript support.

ABQ-LLM is a novel arbitrary bit quantization scheme that achieves excellent performance under various quantization settings while enabling efficient arbitrary bit computation at the inference level. The algorithm supports precise weight-only quantization and weight-activation quantization. It provides pre-trained model weights and a set of out-of-the-box quantization operators for arbitrary bit model inference in modern architectures.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

AWQ (Activation-aware Weight Quantization) is a tool designed for efficient and accurate low-bit weight quantization (INT3/4) for Large Language Models (LLMs). It supports instruction-tuned models and multi-modal LMs, providing features such as AWQ search for accurate quantization, pre-computed AWQ model zoo for various LLMs, memory-efficient 4-bit linear in PyTorch, and efficient CUDA kernel implementation for fast inference. The tool enables users to run large models on resource-constrained edge platforms, delivering more efficient responses with LLM/VLM chatbots through 4-bit inference.

The Oracle Cloud Infrastructure Data Science and AI services Examples repository provides demos, tutorials, and code examples showcasing various features of the OCI Data Science service and AI services. It offers tools for data scientists to develop and deploy machine learning models efficiently, with features like Accelerated Data Science SDK, distributed training, batch processing, and machine learning pipelines. Whether you're a beginner or an experienced practitioner, OCI Data Science Services provide the resources needed to build, train, and deploy models easily.

Atom is an accurate low-bit weight-activation quantization algorithm that combines mixed-precision, fine-grained group quantization, dynamic activation quantization, KV-cache quantization, and efficient CUDA kernels co-design. It introduces a low-bit quantization method, Atom, to maximize Large Language Models (LLMs) serving throughput with negligible accuracy loss. The codebase includes evaluation of perplexity and zero-shot accuracy, kernel benchmarking, and end-to-end evaluation. Atom significantly boosts serving throughput by using low-bit operators and reduces memory consumption via low-bit quantization.

QServe is a serving system designed for efficient and accurate Large Language Models (LLM) on GPUs with W4A8KV4 quantization. It achieves higher throughput compared to leading industry solutions, allowing users to achieve A100-level throughput on cheaper L40S GPUs. The system introduces the QoQ quantization algorithm with 4-bit weight, 8-bit activation, and 4-bit KV cache, addressing runtime overhead challenges. QServe improves serving throughput for various LLM models by implementing compute-aware weight reordering, register-level parallelism, and fused attention memory-bound techniques.

SiLLM is a toolkit that simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework. It provides features such as LLM loading, LoRA training, DPO training, a web app for a seamless chat experience, an API server with OpenAI compatible chat endpoints, and command-line interface (CLI) scripts for chat, server, LoRA fine-tuning, DPO fine-tuning, conversion, and quantization.

Ollama AI is a Ruby gem designed to interact with Ollama's API, allowing users to run open source AI LLMs (Large Language Models) locally. The gem provides low-level access to Ollama, enabling users to build abstractions on top of it. It offers methods for generating completions, chat interactions, embeddings, creating and managing models, and more. Users can also work with text and image data, utilize Server-Sent Events for streaming capabilities, and handle errors effectively. Ollama AI is not an official Ollama project and is distributed under the MIT License.

LLM App Stack, also known as Emerging Architectures for LLM Applications, is a comprehensive list of available tools, projects, and vendors at each layer of the LLM app stack. It covers various categories such as Data Pipelines, Embedding Models, Vector Databases, Playgrounds, Orchestrators, APIs/Plugins, LLM Caches, Logging/Monitoring/Eval, Validators, LLM APIs (proprietary and open source), App Hosting Platforms, Cloud Providers, and Opinionated Clouds. The repository aims to provide a detailed overview of tools and projects for building, deploying, and maintaining enterprise data solutions, AI models, and applications.

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