Best AI tools for< Optimize On-device Models >

ONNX Runtime is a production-grade AI engine designed to accelerate machine learning training and inferencing in various technology stacks. It supports multiple languages and platforms, optimizing performance for CPU, GPU, and NPU hardware. ONNX Runtime powers AI in Microsoft products and is widely used in cloud, edge, web, and mobile applications. It also enables large model training and on-device training, offering state-of-the-art models for tasks like image synthesis and text generation.

Edge Impulse is a leading edge AI platform that enables users to build datasets, train models, and optimize libraries to run directly on any edge device. It offers sensor datasets, feature engineering, model optimization, algorithms, and NVIDIA integrations. The platform is designed for product leaders, AI practitioners, embedded engineers, and OEMs across various industries and applications. Edge Impulse helps users unlock sensor data value, build high-quality sensor datasets, advance algorithm development, optimize edge AI models, and achieve measurable results. It allows for future-proofing workflows by generating models and algorithms that perform efficiently on any edge hardware.

Beebzi.AI is an all-in-one AI content creation platform that offers a wide array of tools for generating various types of content such as articles, blogs, emails, images, voiceovers, and more. The platform utilizes advanced AI technology and behavioral science to empower businesses and individuals in their marketing and sales endeavors. With features like AI Article Wizard, AI Room Designer, AI Landing Page Generator, and AI Code Generation, Beebzi.AI revolutionizes content creation by providing customizable templates, multiple language support, and real-time data insights. The platform also offers various subscription plans tailored for individual entrepreneurs, teams, and businesses, with flexible pricing models based on word count allocations. Beebzi.AI aims to streamline content creation processes, enhance productivity, and drive organic traffic through SEO-optimized content.

Anycores is an AI tool designed to optimize the performance of deep neural networks and reduce the cost of running AI models in the cloud. It offers a platform that provides automated solutions for tuning and inference consultation, optimized networks zoo, and platform for reducing AI model cost. Anycores focuses on faster execution, reducing inference time over 10x times, and footprint reduction during model deployment. It is device agnostic, supporting Nvidia, AMD GPUs, Intel, ARM, AMD CPUs, servers, and edge devices. The tool aims to provide highly optimized, low footprint networks tailored to specific deployment scenarios.

GetWebsite.Report is an innovative web service that leverages state-of-the-art AI models to analyze and optimize landing pages across five main categories: user interface, user experience, visual design, content, and SEO. It provides actionable insights to enhance the performance and effectiveness of digital presence. The tool offers personalized recommendations to improve conversion rates, SEO, usability, and messaging. It is rated 4.8/5 by 290+ users and comes with a 100% money-back guarantee if not satisfied. GetWebsite.Report is designed to be adaptable across diverse industries, offering practical advice and resources for optimizing user experience and search visibility.

Hailo is a leading provider of top-performing edge AI processors for various edge devices, offering generative AI accelerators, AI vision processors, and AI accelerators. The company's technology enables high-performance deep learning applications on edge devices, catering to industries such as automotive, security, industrial automation, retail, and personal computing.

Caffe is a deep learning framework developed by Berkeley AI Research (BAIR) and community contributors. It is designed for speed, modularity, and expressiveness, allowing users to define models and optimization through configuration without hard-coding. Caffe supports both CPU and GPU training, making it suitable for research experiments and industry deployment. The framework is extensible, actively developed, and tracks the state-of-the-art in code and models. Caffe is widely used in academic research, startup prototypes, and large-scale industrial applications in vision, speech, and multimedia.

RAGNA Desktop is a private AI multitool that runs locally on your desktop PC or laptop without the need for an internet connection. It is designed to automate repetitive tasks, increase efficiency, and free up capacity for more important matters. The application ensures data privacy and security by processing all AI, calculations, and analyses on your device, keeping sensitive information protected. RAGNA Desktop offers tools for AI automation, flexibility, and security, helping users enhance productivity and optimize work processes while adhering to the latest data protection regulations.

Pandalyst is an AI-powered tool that helps users write SQL queries faster and more efficiently. It provides an intuitive interface and uses AI to generate high-performing SQL queries without errors, regardless of the user's skill level. Pandalyst is suitable for both SQL beginners and experienced users and can be accessed through a web browser on any device. It prioritizes data security and does not store any data in its system.

Kin is a personal AI application designed to enhance both your private and work life. It offers personalized coaching, guidance, and emotional support to boost your confidence and impact. Kin helps you piece together mental puzzles, providing clear guidance and support for your professional and personal journey. The application prioritizes privacy and security, ensuring that all data stays on your device and is encrypted. With features like advice, role-playing conversations, generating ideas, and time optimization, Kin aims to nurture connections, prepare for tough situations, and help you manage tasks efficiently.

BoltAI is a powerful and user-friendly ChatGPT app for Mac that seamlessly integrates AI into your workflow. With BoltAI, you can access the capabilities of ChatGPT directly within your favorite macOS apps, enhancing your productivity and creativity. Whether you're a developer, content creator, student, or entrepreneur, BoltAI empowers you to leverage AI to streamline your tasks and achieve more. Its intuitive chat UI, powerful AI commands, and inline AI capabilities make it easy to incorporate AI assistance into your daily routine. BoltAI is designed to be versatile and customizable, allowing you to tailor it to your specific needs and preferences. With BoltAI, you can create custom AI assistants, utilize a library of prompts, and enjoy highly customizable features to optimize your workflow. BoltAI prioritizes your privacy and security, ensuring that your data remains protected and confidential. It operates locally on your device, with no data or prompts being stored or transmitted to external servers. Your OpenAI API key is securely stored in the Apple Keychain, adhering to industry-standard encryption methods. Additionally, BoltAI includes an automatic data detection feature that redacts sensitive information, providing peace of mind. BoltAI is committed to continuous improvement, with regular updates and new features being added to enhance your experience. By integrating BoltAI into your workflow, you gain access to a powerful AI assistant that can help you write high-quality content, generate creative ideas, debug code, learn new concepts, and much more. Unleash the potential of AI with BoltAI and experience a new level of productivity and efficiency.

NutraMatic is an AI-powered personalized nutrition application that offers real-time nutritional insights and recommendations based on individual biodata analysis. It utilizes wearable device data and AI algorithms to optimize nutrient intake, providing convenience, confidence, and improved health for users. NutraMatic aims to revolutionize the wellness industry by offering a cutting-edge solution for personalized nutrition and wellness transformation.

NeuProScan is an AI platform designed for the early detection of pre-clinical Alzheimer's from MRI scans. It utilizes AI technology to predict the likelihood of developing Alzheimer's years in advance, helping doctors improve diagnosis accuracy and optimize the use of costly PET scans. The platform is fully customizable, user-friendly, and can be run on devices or in the cloud. NeuProScan aims to provide patients and healthcare systems with valuable insights for better planning and decision-making.

Gunbot is a powerful AI-driven crypto trading bot that offers advanced automation features for trading on various exchanges. It provides privacy-friendly trading options, pre-tuned strategies, and customization capabilities. Gunbot runs directly on users' devices, ensuring data security and privacy. Users can choose from subscription or lifetime license options, with free software updates included. The platform supports Windows, Linux, macOS, and Raspberry Pi. Gunbot AI allows users to create custom trading strategies effortlessly, powered by ChatGPT technology.

XHSPlus is the ultimate tool to enhance the experience of using Xiaohongshu (Little Red Book) from the browser. It transforms the Xiaohongshu website version into an app interface, bringing the mobile experience directly to the computer screen. Users can enjoy the same operations and interface as on mobile devices on a larger screen, making browsing and engaging with content more convenient. XHSPlus enriches your Xiaohongshu experience by providing features such as high-definition watermark-free material downloads, a diverse library of Xiaohongshu emojis and emoticons, generating popular titles using extensive data, efficient management of tags and common phrases, and detection of violations and sensitive words. It also offers insights into recent popular topics on Xiaohongshu, personalized recommendations, and tools to enhance content quality and exposure. XHSPlus aims to simplify the creative process, optimize interactive experiences, and help Xiaohongshu users increase engagement.

LearningStudioAI is an AI-powered authoring tool that helps you create engaging and effective online courses. With LearningStudioAI, you can quickly and easily create interactive lessons, assessments, and simulations that are tailored to the needs of your learners. LearningStudioAI also provides a range of features to help you track your learners' progress and measure the effectiveness of your courses.

LearningStudioAI is an AI-powered authoring tool designed to help users create courses with ease. The tool utilizes artificial intelligence to streamline the course creation process, making it efficient and user-friendly. With LearningStudioAI, users can leverage advanced algorithms to generate engaging content, interactive quizzes, and personalized learning experiences. The platform offers a range of templates and customization options to cater to diverse educational needs. Whether you are an educator, trainer, or content creator, LearningStudioAI empowers you to develop high-quality courses in a fraction of the time. Say goodbye to manual course creation and embrace the future of e-learning with LearningStudioAI.

UP Bridge the Gap is an AI application that offers edge computing devices and solutions. The website showcases a range of products including boards, modules, systems, and Intel certified kits. It provides application stories, community forums, tech updates, downloads, and a media library. The platform focuses on empowering users with innovative technologies for AI at the edge, exceptional flexibility, and expandability. UP Bridge the Gap caters to industrial use, enabling next-generation industrial automation and AI solutions with a wide range of AI acceleration modules.

The website is an AI tool focused on providing news, insights, and updates on the application of artificial intelligence in the healthcare industry. It covers a wide range of topics such as digital transformation, care delivery, and AI regulations. The platform aims to educate and inform healthcare professionals, industry watchers, and stakeholders about the latest trends, challenges, and opportunities in leveraging AI for improving patient care and healthcare operations.

Fred the Freaking Remarkable Engagement Device (FRED) is an AI-powered chatbot designed to revolutionize customer service and digital marketing. FRED offers instant responses to customer inquiries, operates 24/7, and provides tailor-made solutions powered by Artificial Intelligence. With customizable chatbots tailored to specific industries, FRED helps engage customers, increase sales, and streamline operations. FRED is a marketing expert offering valuable advice on branding, research, advertising, and digital marketing strategies. The chatbot aims to empower users by providing valuable insights and tips for successful marketing campaigns.

This repository contains the training code of MobileLLM, a language model optimized for on-device use cases with fewer than a billion parameters. It integrates SwiGLU activation function, deep and thin architectures, embedding sharing, and grouped-query attention to achieve high-quality LLMs. MobileLLM-125M/350M shows significant accuracy improvements over previous models on zero-shot commonsense reasoning tasks. The design philosophy scales effectively to larger models, with state-of-the-art results for MobileLLM-600M/1B/1.5B.

Welcome to the ultimate hub for on-device Large Language Models (LLMs)! This repository is your go-to resource for all things related to LLMs designed for on-device deployment. Whether you're a seasoned researcher, an innovative developer, or an enthusiastic learner, this comprehensive collection of cutting-edge knowledge is your gateway to understanding, leveraging, and contributing to the exciting world of on-device LLMs.

Awesome-Efficient-LLM is a curated list focusing on efficient large language models. It includes topics such as knowledge distillation, network pruning, quantization, inference acceleration, efficient MOE, efficient architecture of LLM, KV cache compression, text compression, low-rank decomposition, hardware/system, tuning, and survey. The repository provides a collection of papers and projects related to improving the efficiency of large language models through various techniques like sparsity, quantization, and compression.

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.

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

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.

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.

SpinQuant is a tool designed for LLM quantization with learned rotations. It focuses on optimizing rotation matrices to enhance the performance of quantized models, narrowing the accuracy gap to full precision models. The tool implements rotation optimization and PTQ evaluation with optimized rotation, providing arguments for model name, batch sizes, quantization bits, and rotation options. SpinQuant is based on the findings that rotation helps in removing outliers and improving quantization, with specific enhancements achieved through learning rotation with Cayley optimization.

torchchat is a codebase showcasing the ability to run large language models (LLMs) seamlessly. It allows running LLMs using Python in various environments such as desktop, server, iOS, and Android. The tool supports running models via PyTorch, chatting, generating text, running chat in the browser, and running models on desktop/server without Python. It also provides features like AOT Inductor for faster execution, running in C++ using the runner, and deploying and running on iOS and Android. The tool supports popular hardware and OS including Linux, Mac OS, Android, and iOS, with various data types and execution modes available.

ExecuTorch is an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices including wearables, embedded devices and microcontrollers. It is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices. Key value propositions of ExecuTorch are: * **Portability:** Compatibility with a wide variety of computing platforms, from high-end mobile phones to highly constrained embedded systems and microcontrollers. * **Productivity:** Enabling developers to use the same toolchains and SDK from PyTorch model authoring and conversion, to debugging and deployment to a wide variety of platforms. * **Performance:** Providing end users with a seamless and high-performance experience due to a lightweight runtime and utilizing full hardware capabilities such as CPUs, NPUs, and DSPs.

The 'END TO END GENERATIVE AI PROJECTS' repository is a collection of awesome industry projects utilizing Large Language Models (LLM) for various tasks such as chat applications with PDFs, image to speech generation, video transcribing and summarizing, resume tracking, text to SQL conversion, invoice extraction, medical chatbot, financial stock analysis, and more. The projects showcase the deployment of LLM models like Google Gemini Pro, HuggingFace Models, OpenAI GPT, and technologies such as Langchain, Streamlit, LLaMA2, LLaMAindex, and more. The repository aims to provide end-to-end solutions for different AI applications.

Jailbreak is a comprehensive guide exploring iOS 17 and its various versions, discussing the benefits, status, possibilities, and future impact of jailbreaking iOS devices. It covers topics such as preparation, safety measures, differences between tethered and untethered jailbreaks, best practices, and FAQs. The guide also provides information on specific jailbreak tools like Palera1n, Serotonin, NekoJB, Redensa, and Dopamine, along with their features and download links. Users can learn about supported devices, the latest updates, and the status of jailbreaking for different iOS versions. The tool aims to empower users to unlock new possibilities and customize their devices beyond Apple's restrictions.

This repo contains a comprehensive paper list of **Model Quantization** for efficient deep learning on AI conferences/journals/arXiv. As a highlight, we categorize the papers in terms of model structures and application scenarios, and label the quantization methods with keywords.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

Awesome LLM Courses is a curated list of online courses focused on Large Language Models (LLMs). The repository aims to provide a comprehensive collection of free available courses covering various aspects of LLMs, including fundamentals, engineering, and applications. The courses are suitable for individuals interested in natural language processing, AI development, and machine learning. The list includes courses from reputable platforms such as Hugging Face, Udacity, DeepLearning.AI, Cohere, DataCamp, and more, offering a wide range of topics from pretraining LLMs to building AI applications with LLMs. Whether you are a beginner looking to understand the basics of LLMs or an intermediate developer interested in advanced topics like prompt engineering and generative AI, this repository has something for everyone.

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.

This repository contains the training code of LLM-QAT for large language models. The work investigates quantization-aware training for LLMs, including quantizing weights, activations, and the KV cache. Experiments were conducted on LLaMA models of sizes 7B, 13B, and 30B, at quantization levels down to 4-bits. Significant improvements were observed when quantizing weight, activations, and kv cache to 4-bit, 8-bit, and 4-bit, respectively.

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