Best AI tools for< Serve Computations >

Spectre is an AI-powered shutter application for iPhone that enables users to create stunning long exposures with ease. It simplifies the technical aspects of long exposure photography, such as camera stability and light estimation, by leveraging cutting-edge computational photography technologies. Spectre offers features like scene detection, intelligent exposure, and auto-stabilization to enhance the user experience. The app is designed with a user-friendly interface, making it easy to use even in low-light conditions. Spectre serves as a showcase of high-tech features, including DCI-P3 Wide Color Gamut, Live Photos, and machine learning capabilities, setting it apart as a top camera app in the App Store.

Open Data Science (ODS) is a community website offering a platform for data science enthusiasts to engage in tracks, competitions, hacks, tasks, events, and projects. The website serves as a hub for job opportunities and provides a space for privacy policy, service agreements, and public offers. ODS.AI, established in 2015, focuses on various data science topics such as machine learning, computer vision, natural language processing, and more. The platform hosts online and offline events, conferences, and educational courses to foster learning and networking within the data science community.

ad:personam is an AI-powered Self Serve DSP platform for programmatic advertising, designed to empower businesses of any size to thrive in the programmatic advertising space. It offers a comprehensive suite of programmatic advertising solutions, cutting-edge AI-driven insights and planning tools, and transparent pricing. With features like multi-format ad uploads, cookieless targeting, and in-depth reporting, ad:personam aims to simplify programmatic advertising with AI efficiency and effectiveness.

BoldDesk by Syncfusion is a comprehensive customer service software designed to effortlessly resolve 70% of customer inquiries. It offers features such as ticketing system, live chat support, omnichannel inbox, knowledge base, task management, and AI Copilot. The application aims to enhance customer service efficiency through automation, collaboration, and customization. BoldDesk provides workflow automation, contact management, reports & analytics, mobile app, customer portal, apps & integrations, and satisfaction survey (CSAT). It caters to startups, small businesses, and enterprises, offering solutions for email ticketing, shared inbox software, multi-brand help desk, internal help desk software, trouble ticketing software, and embedded help widgets.

Backend.AI is an enterprise-scale cluster backend for AI frameworks that offers scalability, GPU virtualization, HPC optimization, and DGX-Ready software products. It provides a fast and efficient way to build, train, and serve AI models of any type and size, with flexible infrastructure options. Backend.AI aims to optimize backend resources, reduce costs, and simplify deployment for AI developers and researchers. The platform integrates seamlessly with existing tools and offers fractional GPU usage and pay-as-you-play model to maximize resource utilization.

Seldon is an MLOps platform that helps enterprises deploy, monitor, and manage machine learning models at scale. It provides a range of features to help organizations accelerate model deployment, optimize infrastructure resource allocation, and manage models and risk. Seldon is trusted by the world's leading MLOps teams and has been used to install and manage over 10 million ML models. With Seldon, organizations can reduce deployment time from months to minutes, increase efficiency, and reduce infrastructure and cloud costs.

Helsing is an AI tool designed to serve and protect democracies by leveraging artificial intelligence technology. The company focuses on developing software-first solutions that enhance defense capabilities and safeguard democratic values. Helsing collaborates with industry and governments to integrate advanced AI with hardware platforms, aiming to achieve technological leadership in the defense sector. The team at Helsing comprises experts with diverse backgrounds in software, defense, intelligence, and artificial intelligence, united by a shared commitment to upholding democratic principles.

Baseten is a machine learning infrastructure that provides a unified platform for data scientists and engineers to build, train, and deploy machine learning models. It offers a range of features to simplify the ML lifecycle, including data preparation, model training, and deployment. Baseten also provides a marketplace of pre-built models and components that can be used to accelerate the development of ML applications.

Predibase is a platform for fine-tuning and serving Large Language Models (LLMs). It provides a cost-effective and efficient way to train and deploy LLMs for a variety of tasks, including classification, information extraction, customer sentiment analysis, customer support, code generation, and named entity recognition. Predibase is built on proven open-source technology, including LoRAX, Ludwig, and Horovod.

Meteron AI is an all-in-one AI toolset that helps developers build AI-powered products faster and easier. It provides a simple, yet powerful metering mechanism, elastic scaling, unlimited storage, and works with any model. With Meteron, developers can focus on building AI products instead of worrying about the underlying infrastructure.

Heenok is an AI-powered content-generating tool designed to help users quickly create high-quality content with minimal effort, time, and cost. It offers features such as AI-powered social media marketing, content improvement, video script writing, landing page copy generation, and business strategy development. Heenok's cutting-edge technology leverages artificial intelligence to generate engaging and original content that resonates with the audience. The tool aims to save time and money by automating content creation processes and providing intuitive interfaces for users to create human-like content effortlessly.

The Future of Privacy Forum (FPF) is an AI tool that serves as a catalyst for privacy leadership and scholarship, advancing principled data practices in support of emerging technologies. It provides resources, training sessions, and guidance on AI-related topics, online advertising, youth privacy legislation, and more. FPF brings together industry, academics, civil society, policymakers, and other stakeholders to explore challenges posed by emerging technologies and develop privacy protections, ethical norms, and best practices.

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EnterpriseAI is an advanced computing platform that focuses on the intersection of high-performance computing (HPC) and artificial intelligence (AI). The platform provides in-depth coverage of the latest developments, trends, and innovations in the AI-enabled computing landscape. EnterpriseAI offers insights into various sectors such as financial services, government, healthcare, life sciences, energy, manufacturing, retail, and academia. The platform covers a wide range of topics including AI applications, security, data storage, networking, and edge/IoT technologies.

Let's Foodie is the ultimate resource for foodies across the globe. It provides a free AI recipe generator that can turn any list of ingredients into a recipe instantly. The website also features a variety of articles on cooking techniques, methods, FAQs, and ingredients. Users can search for anything foodie-related using the search box. The website also includes a section on top comparisons, where users can compare different ingredients, dishes, and cooking methods.

Humley is a Conversational AI platform that allows users to build and launch AI assistants in under an hour. The platform provides a no-code environment for creating self-serve experiences and managing AI outputs. Humley aims to revolutionize customer experiences and boost efficiencies by making Conversational AI accessible and safe for all users. With features like Knowledge Search, Build Flows, Integrate with Systems, Capture Feedback, and Multi-Channel Support, Humley Studio offers a comprehensive toolkit for creating engaging conversational experiences. The platform empowers businesses to deliver exceptional customer service, streamline access to AI models, and improve operational efficiencies.

Columns AI is a platform that enables users to automate data storytelling through AI technology. It offers a user-friendly interface to create visually compelling narratives from various data sources. Users can integrate data from Google Spreadsheet, Notion, Airtable, and more, transform data into visual stories, design professional content with Canva-like tools, and share and automate updates effortlessly. Columns AI leverages advanced AI to deliver smart insights, allowing users to unleash their creativity and share stories across multiple channels. It also provides a chat feature powered by GPT for generating graphs and interactive data analysis.

LangChain is an AI tool that offers a suite of products supporting developers in the LLM application lifecycle. It provides a framework to construct LLM-powered apps easily, visibility into app performance, and a turnkey solution for serving APIs. LangChain enables developers to build context-aware, reasoning applications and future-proof their applications by incorporating vendor optionality. LangSmith, a part of LangChain, helps teams improve accuracy and performance, iterate faster, and ship new AI features efficiently. The tool is designed to drive operational efficiency, increase discovery & personalization, and deliver premium products that generate revenue.

vLLM is a fast and easy-to-use library for LLM inference and serving. It offers state-of-the-art serving throughput, efficient management of attention key and value memory, continuous batching of incoming requests, fast model execution with CUDA/HIP graph, and various decoding algorithms. The tool is flexible with seamless integration with popular HuggingFace models, high-throughput serving, tensor parallelism support, and streaming outputs. It supports NVIDIA GPUs and AMD GPUs, Prefix caching, and Multi-lora. vLLM is designed to provide fast and efficient LLM serving for everyone.

Anyscale is a company that provides a scalable compute platform for AI and Python applications. Their platform includes a serverless API for serving and fine-tuning open LLMs, a private cloud solution for data privacy and governance, and an open source framework for training, batch, and real-time workloads. Anyscale's platform is used by companies such as OpenAI, Uber, and Spotify to power their AI workloads.

SynapseML (previously known as MMLSpark) is an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. It provides simple, composable, and distributed APIs for various machine learning tasks such as text analytics, vision, anomaly detection, and more. Built on Apache Spark, SynapseML allows seamless integration of models into existing workflows. It supports training and evaluation on single-node, multi-node, and resizable clusters, enabling scalability without resource wastage. Compatible with Python, R, Scala, Java, and .NET, SynapseML abstracts over different data sources for easy experimentation. Requires Scala 2.12, Spark 3.4+, and Python 3.8+.

FlexFlow Serve is an open-source compiler and distributed system for **low latency**, **high performance** LLM serving. FlexFlow Serve outperforms existing systems by 1.3-2.0x for single-node, multi-GPU inference and by 1.4-2.4x for multi-node, multi-GPU inference.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

ByteMLPerf is an AI Accelerator Benchmark that focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware. Byte MLPerf has the following characteristics: - Models and runtime environments are more closely aligned with practical business use cases. - For ASIC hardware evaluation, besides evaluate performance and accuracy, it also measure metrics like compiler usability and coverage. - Performance and accuracy results obtained from testing on the open Model Zoo serve as reference metrics for evaluating ASIC hardware integration.

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

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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.

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.

TPI-LLM (Tensor Parallelism Inference for Large Language Models) is a system designed to bring LLM functions to low-resource edge devices, addressing privacy concerns by enabling LLM inference on edge devices with limited resources. It leverages multiple edge devices for inference through tensor parallelism and a sliding window memory scheduler to minimize memory usage. TPI-LLM demonstrates significant improvements in TTFT and token latency compared to other models, and plans to support infinitely large models with low token latency in the future.

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.

A curated list of Generative AI projects, tools, artworks, and models

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

Awesome-LLM-Quantization is a curated list of resources related to quantization techniques for Large Language Models (LLMs). Quantization is a crucial step in deploying LLMs on resource-constrained devices, such as mobile phones or edge devices, by reducing the model's size and computational requirements.

AI-PhD-S24 is a mono-repo for the PhD course 'AI for Business Research' at CUHK Business School in Spring 2024. The course aims to provide a basic understanding of machine learning and artificial intelligence concepts/methods used in business research, showcase how ML/AI is utilized in business research, and introduce state-of-the-art AI/ML technologies. The course includes scribed lecture notes, class recordings, and covers topics like AI/ML fundamentals, DL, NLP, CV, unsupervised learning, and diffusion models.

Parrot is a distributed serving system for LLM-based Applications, designed to efficiently serve LLM-based applications by adding Semantic Variable in the OpenAI-style API. It allows for horizontal scalability with multiple Engine instances running LLM models communicating with ServeCore. The system enables AI agents to interact with LLMs via natural language prompts for collaborative tasks.

Chronon is a platform that simplifies and improves ML workflows by providing a central place to define features, ensuring point-in-time correctness for backfills, simplifying orchestration for batch and streaming pipelines, offering easy endpoints for feature fetching, and guaranteeing and measuring consistency. It offers benefits over other approaches by enabling the use of a broad set of data for training, handling large aggregations and other computationally intensive transformations, and abstracting away the infrastructure complexity of data plumbing.

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