Best AI tools for< System-level Efficiency Optimization >

Building Services AI is an AI-driven platform that simplifies technical insights for building services professionals. It harnesses advanced AI technology to provide expert-level guidance on various aspects of building services, including HVAC systems, electrical setups, plumbing, and more. The platform offers comprehensive knowledge, maintenance insights, and 24/7 assistance to help users understand how building systems work and how to maintain them efficiently. Building Services AI aims to be a trusted resource for building operations and maintenance, offering expert advice and expertise to navigate the complexities of the field with confidence.

Please Don't Code is an AI Code Generator specifically designed for Arduino and ESP32 electronic boards. It offers a cutting-edge code generation automation service to empower freelance programmers and small/medium businesses in bringing their prototype projects to life in significantly less time compared to manual coding approaches. The platform aims to expedite and automate low-level code development processes, providing quality solutions and efficiency at a budget-friendly scale for professionals and Small/Medium Enterprises.

Bemi is an Automatic Audit Trail tool designed for PostgreSQL databases. It allows users to track data changes reliably without the need for complex engineering or costly infrastructure. Bemi offers seamless setup, contextualized data integration, default security measures, and storage in PostgreSQL databases. It is trusted by top tech companies and provides features for reliable and contextualized data tracking, audit & compliance, data recovery, observability & troubleshooting, and building activity feed. Bemi ensures data security, customer-level isolation, and integrates with ORM for easy data enrichment. The tool is loved by many users and has received positive testimonials for its efficiency and effectiveness in data tracking and audit trail management.

Zefort is an AI-powered contract management solution that offers a zero-effort approach to managing contracts. It allows users to create, sign, and store contracts with ease, providing features like eSignatures, automated reminders, and secure storage. Zefort is designed to streamline contract processes for legal teams, procurement, HR teams, sales teams, and company administration. The platform integrates advanced AI technology to enhance contract management efficiency and accuracy, catering to organizations of all sizes. With bank-level security measures and a user-friendly interface, Zefort ensures a seamless contract management experience.

NeuReality is an AI-centric solution designed to democratize AI adoption by providing purpose-built tools for deploying and scaling inference workflows. Their innovative AI-centric architecture combines hardware and software components to optimize performance and scalability. The platform offers a one-stop shop for AI inference, addressing barriers to AI adoption and streamlining computational processes. NeuReality's tools enable users to deploy, afford, use, and manage AI more efficiently, making AI easy and accessible for a wide range of applications.

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.

Song Demo AI is an advanced platform specializing in music generation and text-to-music conversion. The service, powered by Suno AI 3.5 and udio ai models, provides free music generation tools to help users create high-quality music tracks quickly and efficiently. Users can input text descriptions and the AI system will automatically generate corresponding music tracks in various styles such as pop, classical, electronic, and jazz. The music generation speed is fast, and the quality of the generated music is professional-level. Song Demo AI supports text input in multiple languages and offers a limited number of free music generation services.

CloudExam AI is an online testing platform developed by Hanke Numerical Union Technology Co., Ltd. It provides stable and efficient AI online testing services, including intelligent grouping, intelligent monitoring, and intelligent evaluation. The platform ensures test fairness by implementing automatic monitoring level regulations and three random strategies. It prioritizes information security by combining software and hardware to secure data and identity. With global cloud deployment and flexible architecture, it supports hundreds of thousands of concurrent users. CloudExam AI offers features like queue interviews, interactive pen testing, data-driven cockpit, AI grouping, AI monitoring, AI evaluation, random question generation, dual-seat testing, facial recognition, real-time recording, abnormal behavior detection, test pledge book, student information verification, photo uploading for answers, inspection system, device detection, scoring template, ranking of results, SMS/email reminders, screen sharing, student fees, and collaboration with selected schools.

Compliance Quarter is a leading provider of compliance solutions for the energy industry. We offer a range of services to help businesses manage their compliance obligations, including expert advice, document review, and technology solutions. Our team of experienced professionals has deep expertise in the energy industry and is committed to providing our clients with the highest level of service. We are proud to be the trusted partner of some of the world's largest energy companies.

WikeAI is an all-in-one AI platform that provides access to top AI models such as GPT-4, Claude3, Mistral, and Llama2. It offers professional-level cross-model integration, allowing users to experience powerful language understanding, speech synthesis, and visual generation technology without switching between multiple systems. WikeAI simplifies the process of using AI for content writing by generating blog articles, product descriptions, social media ads, and more in seconds. The platform offers different pricing plans tailored to various user needs, from casual users to language creators.

Nova Echo AI is an AI application designed to automate sales processes through conversational AI technology. It offers a platform that enables users to create AI sales agents that can engage in real sales calls like a human, eliminating the need for recruitment agencies, training sales reps, and managing CRM systems separately. The application is equipped with Natural Language Understanding (NLU) and supports 12 languages, providing limitless sales potential. Nova Echo AI aims to enhance customer experience, streamline operations, and drive growth by understanding customer behavior and preferences. The platform ensures data security, multi-level commission opportunities, and efficient lead management, making it a valuable tool for businesses looking to leverage AI for sales automation.

Fluid AI is an Enterprise Generative AI Solution Platform that offers advanced capabilities for Enterprise use-cases. It leverages organizational knowledge to function as an intelligent agent, supporting teams with easy access to precise answers, insights, reports, and creativity. The platform automates conversations across channels, enhances speed, accuracy, and scalability, and maintains personalized interactions. Fluid AI can integrate seamlessly with legacy systems, ensuring efficient AI adoption with Enterprise-level security.

Infinilearn is a personalized learning platform that revolutionizes education by offering gamified and interactive learning experiences. It features a customized AI Guide that grows with the user, providing personalized learning paths, gamified level system, earning grants directly through the app, and human-AI powered symbiosis. Infinilearn aims to make learning engaging, rewarding, and tailored to individual needs.

DreamPal is an AI-powered chat platform that offers immersive roleplay experiences. Users can create and interact with virtual characters, engage in diverse storylines, and enjoy a rich, personalized chatting experience. The platform blends AI chat with immersive AI roleplay, providing deep, meaningful conversations with intelligent virtual companions. Users can customize their characters, engage in multiple chat modes, and benefit from features like human feedback reinforced learning and an affection level system.

FareTrack is an AI-driven data intelligence solution tailored for the modern air travel industry. It offers accurate, timely, and actionable insights for airline revenue management, distribution, and network operations teams. By leveraging advanced AI technology, FareTrack empowers clients with competitive fare tracking, ancillary pricing insights, open pricing monitoring, and price rank value optimization. The platform also provides comprehensive travel data solutions beyond airfare, including tax breakdowns, historical fare analysis, and trend analysis. With customizable dashboards and API integration, FareTrack enables users to make informed decisions swiftly and stay ahead in the dynamic world of air travel.

The website offers an AI testing system that allows users to generate test questions instantly. It features a smart question bank, rapid question generation, and immediate test creation. Users can try out various test questions, such as generating knowledge test questions for car sales, company compliance standards, and real estate tax rate knowledge. The system ensures each test paper has similar content and difficulty levels. It also provides random question selection to reduce cheating possibilities. Employees can access the test link directly, view test scores immediately after submission, and check incorrect answers with explanations. The system supports single sign-on via WeChat for employee verification and record-keeping of employee rankings and test attempts. The platform prioritizes enterprise data security with a three-level network security rating, ISO/IEC 27001 information security management system, and ISO/IEC 27701 privacy information management system.

Topai.tools is an AI tool designed to verify the security of user connections. It ensures a safe browsing experience by reviewing and authenticating the user's identity before proceeding. The tool helps in preventing unauthorized access and potential security threats by enabling JavaScript and cookies for secure browsing. With the assistance of Cloudflare, topai.tools offers high performance and robust security measures to protect user data and privacy.

ProdMoh AI is an AI tool designed to assist Product Managers and Founders in transforming product development processes. It leverages AI-powered insights and tools to streamline workflow, prioritize effectively, and drive innovation. With ProdMoh AI, users can create, strategize, and validate product ideas in minutes, organize their vision effortlessly, understand users on a deeper level, and conduct user research in a reimagined way.

Quizbot.ai is an advanced AI question generator designed to revolutionize the process of question and exam development. It offers a cutting-edge artificial intelligence system that can generate various types of questions from different sources like PDFs, Word documents, videos, images, and more. Quizbot.ai is a versatile tool that caters to multiple languages and question types, providing a personalized and engaging learning experience for users across various industries. The platform ensures scalability, flexibility, and personalized assessments, along with detailed analytics and insights to track learner performance. Quizbot.ai is secure, user-friendly, and offers a range of subscription plans to suit different needs.

CategorAIze.io is an AI-powered tool that helps users categorize data effortlessly using the latest AI technologies. Users can define custom categories, upload data items, and let the cutting-edge LLM AI automatically assign entries based on their content without the need for pretraining. The tool supports multi-level hierarchies, text and image-based categorization, and offers pay-as-you-go pricing options. Additionally, users can access the tool via browser, API, and plugins for a seamless experience.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

This repository provides a comprehensive list of academic papers, articles, tutorials, slides, and projects related to Large Language Model (LLM) systems. It covers various aspects of LLM research, including pre-training, serving, system efficiency optimization, multi-model systems, image generation systems, LLM applications in systems, ML systems, survey papers, LLM benchmarks and leaderboards, and other relevant resources. The repository is regularly updated to include the latest developments in this rapidly evolving field, making it a valuable resource for researchers, practitioners, and anyone interested in staying abreast of the advancements in LLM technology.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

MSCCL++ is a GPU-driven communication stack for scalable AI applications. It provides a highly efficient and customizable communication stack for distributed GPU applications. MSCCL++ redefines inter-GPU communication interfaces, delivering a highly efficient and customizable communication stack for distributed GPU applications. Its design is specifically tailored to accommodate diverse performance optimization scenarios often encountered in state-of-the-art AI applications. MSCCL++ provides communication abstractions at the lowest level close to hardware and at the highest level close to application API. The lowest level of abstraction is ultra light weight which enables a user to implement logics of data movement for a collective operation such as AllReduce inside a GPU kernel extremely efficiently without worrying about memory ordering of different ops. The modularity of MSCCL++ enables a user to construct the building blocks of MSCCL++ in a high level abstraction in Python and feed them to a CUDA kernel in order to facilitate the user's productivity. MSCCL++ provides fine-grained synchronous and asynchronous 0-copy 1-sided abstracts for communication primitives such as `put()`, `get()`, `signal()`, `flush()`, and `wait()`. The 1-sided abstractions allows a user to asynchronously `put()` their data on the remote GPU as soon as it is ready without requiring the remote side to issue any receive instruction. This enables users to easily implement flexible communication logics, such as overlapping communication with computation, or implementing customized collective communication algorithms without worrying about potential deadlocks. Additionally, the 0-copy capability enables MSCCL++ to directly transfer data between user's buffers without using intermediate internal buffers which saves GPU bandwidth and memory capacity. MSCCL++ provides consistent abstractions regardless of the location of the remote GPU (either on the local node or on a remote node) or the underlying link (either NVLink/xGMI or InfiniBand). This simplifies the code for inter-GPU communication, which is often complex due to memory ordering of GPU/CPU read/writes and therefore, is error-prone.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project caches pre-generated model results to reduce response time for similar requests and enhance user experience. It integrates various embedding frameworks and local storage options, offering functionalities like cache-writing, cache-querying, and cache-clearing through RESTful API. The tool supports multi-tenancy, system commands, and multi-turn dialogue, with features for data isolation, database management, and model loading schemes. Future developments include data isolation based on hyperparameters, enhanced system prompt partitioning storage, and more versatile embedding models and similarity evaluation algorithms.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

GuideLLM is a powerful tool for evaluating and optimizing the deployment of large language models (LLMs). By simulating real-world inference workloads, GuideLLM helps users gauge the performance, resource needs, and cost implications of deploying LLMs on various hardware configurations. This approach ensures efficient, scalable, and cost-effective LLM inference serving while maintaining high service quality. Key features include performance evaluation, resource optimization, cost estimation, and scalability testing.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project facilitates sharing and exchanging technologies related to large model semantic cache through open-source collaboration.

Lobe Chat is an open-source, modern-design ChatGPT/LLMs UI/Framework. Supports speech-synthesis, multi-modal, and extensible ([function call][docs-functionc-call]) plugin system. One-click **FREE** deployment of your private OpenAI ChatGPT/Claude/Gemini/Groq/Ollama chat application.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

Given a set of Parameters, Provides a set of Order Recommendations

A helper( now v0.6) in building a world-level news system, integrating news into coherent stories (https://here.news).

Your Edexcel A level maths assistant. Ask for new questions. Help for the next step in your working out. Even send me a picture of a question and i can tell you what exam it is from.

Microsoft 365 support agent, redirects admin-level requests to PCT Support.

Examine and simulate any level of courtroom etiquette and procedures in any country. Copyright (C) 2024, Sourceduty - All Rights Reserved.

A Zig Language Specialist

Expert in Xilinx FPGA development, catering to all experience levels.

A System Architect Coach guiding you through system design principles and best practices. Explains CAP theorem like no one else

Helpful conversational guide for workplace challenges regarding retaliation, disparate treatment, and prejudice and the EEO process.

Expert in AiOS integration, technical troubleshooting, and IP rights management.

I conduct mock system design interviews.

UX/UI designer for design systems specs

Expert in GPT infrastructure and network systems.

Mentor for designers on creating modern design systems

Expert on VR systems, setup, and troubleshooting

Expert in Technical Design System Foundations and Components

Guides on creating design systems in Figma using Figma docs.

Expert in creative and insightful dialogues

意思決定が必要な時に、３基のスーパーコンピュータが多数決で決めてくれます

A tool for designing nanocarrier systems, tailored to drugs and patient profiles.