Best AI tools for< Transmission Engineer >

Maze is a continuous product discovery platform that enables users to enrich product decisions with intuitive user research. It offers a wide range of features such as prototype testing, website testing, surveys, interview studies, and more. With AI-powered tools and integrations with popular design tools, Maze helps users scale user insights and speed up product launches. The platform provides Enterprise-level protection, encrypted transmission, access control, data center security, GDPR compliance, SSO, and private workspaces to ensure data security and compliance. Trusted by companies of all industries and sizes, Maze empowers teams to make user-informed decisions and drive faster product iteration for a better user experience.

Hello24 is an AI-powered conversational commerce platform that enables businesses to engage with customers on WhatsApp. It offers solutions for WhatsApp Commerce, Marketing, and Chatbot, helping companies build strong customer relationships and drive sales through the world's most popular messaging app. With features like WhatsApp Shop, Order & Shipment Notifications, Customer segmentation, and AI-driven customer engagement, Hello24 streamlines the process of selling products, deploying marketing campaigns, and providing customer support on WhatsApp. The platform also ensures enterprise-grade security with ISO 27001:2013 certification and encrypted data transmission. Elevate your business with Hello24's innovative AI technology and start engaging customers on their preferred channel today!

Cradl AI is an AI-powered tool designed to automate document workflows with no-code AI. It enables users to extract data from any document automatically, integrate with no-code tools, and build custom AI models through an easy-to-use interface. The tool empowers automation teams across industries by extracting data from complex document layouts, regardless of language or structure. Cradl AI offers features such as line item extraction, fine-tuning AI models, human-in-the-loop validation, and seamless integration with automation tools. It is trusted by organizations for business-critical document automation, providing enterprise-level features like encrypted transmission, GDPR compliance, secure data handling, and auto-scaling.

GoAudience is a custom audience platform that leverages AI to help brands find new customers based on their credit card spending history. It integrates easily with Meta and is effective across all categories. The platform offers features such as AI-powered audience creation, real-time consumer spending data, plug-and-play simplicity, enterprise precision at SMB pricing, and the ability to pause subscriptions anytime. GoAudience enables users to create top-performing custom audiences, track performance, measure ROI, and present results easily. It aims to provide targeting that is always on target by building custom audience lists from real-time consumer spending data. The platform prioritizes user privacy by securely transmitting data and deleting raw data after transmission.

Payman is a financial infrastructure designed to empower AI Agents to move money securely and efficiently. It offers built-in compliance, human oversight, and seamless integration to help developers trust AI with financial transactions. Payman AI, Inc. partners with Stripe Payments Company and Fifth Third Bank to provide secure money transmission services. The platform ensures that AI Agents have separate financial accounts, smart payee protection, human-in-loop approvals, and secure fund orchestration. It aims to provide peace of mind to users by offering secure fund access, payment oversight, enterprise compliance, and seamless integration for AI payment operations.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

hongbomiao.com is a personal research and development (R&D) lab that facilitates the sharing of knowledge. The repository covers a wide range of topics including web development, mobile development, desktop applications, API servers, cloud native technologies, data processing, machine learning, computer vision, embedded systems, simulation, database management, data cleaning, data orchestration, testing, ops, authentication, authorization, security, system tools, reverse engineering, Ethereum, hardware, network, guidelines, design, bots, and more. It provides detailed information on various tools, frameworks, libraries, and platforms used in these domains.

AirSane is a SANE frontend and scanner server that supports Apple's AirScan protocol. It automatically detects scanners and publishes them through mDNS. Acquired images can be transferred in JPEG, PNG, and PDF/raster format. The tool is intended to be used with AirScan/eSCL clients such as Apple's Image Capture, sane-airscan on Linux, and the eSCL client built into Windows 10 and 11. It provides a simple web interface and encodes images on-the-fly to keep memory/storage demands low, making it suitable for devices like Raspberry Pi. Authentication and secure communication are supported in conjunction with a proxy server like nginx. AirSane has been reverse-engineered from Apple's AirScanScanner client communication protocol and offers a range of installation and configuration options for different operating systems.

GLake is an acceleration library and utilities designed to optimize GPU memory management and IO transmission for AI large model training and inference. It addresses challenges such as GPU memory bottleneck and IO transmission bottleneck by providing efficient memory pooling, sharing, and tiering, as well as multi-path acceleration for CPU-GPU transmission. GLake is easy to use, open for extension, and focuses on improving training throughput, saving inference memory, and accelerating IO transmission. It offers features like memory fragmentation reduction, memory deduplication, and built-in security mechanisms for troubleshooting GPU memory issues.

Airclap is a user-friendly, cross-platform, ultra-fast, and beautifully designed file transfer tool that allows you to send any file to any device without requiring an internet connection. With its wireless transfer and nearby sharing capabilities, you can easily share files between devices on different platforms, including Mac, iOS, Windows, and Android. Airclap's modern user interface provides a simplified and intuitive transfer experience, with clear and real-time feedback. It also offers ultra-fast transfer speeds, maximum transfer speed available on the local network, and a highly stable transmission process. Additionally, Airclap provides abundant shortcuts and a clear file list with preview thumbnails for easy file management.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

Mooncake is a serving platform for Kimi, a leading LLM service provided by Moonshot AI. It features a KVCache-centric disaggregated architecture that separates prefill and decoding clusters, leveraging underutilized CPU, DRAM, and SSD resources of the GPU cluster. Mooncake's scheduler balances throughput and latency-related SLOs, with a prediction-based early rejection policy for highly overloaded scenarios. It excels in long-context scenarios, achieving up to a 525% increase in throughput while handling 75% more requests under real workloads.

BTGenBot is a tool that generates behavior trees for robots using lightweight large language models (LLMs) with a maximum of 7 billion parameters. It fine-tunes on a specific dataset, compares multiple LLMs, and evaluates generated behavior trees using various methods. The tool demonstrates the potential of LLMs with a limited number of parameters in creating effective and efficient robot behaviors.

HugeSCM is a cloud-based version control system designed to address R&D repository size issues. It effectively manages large repositories and individual large files by separating data storage and utilizing advanced algorithms and data structures. It aims for optimal performance in handling version control operations of large-scale repositories, making it suitable for single large library R&D, AI model development, and game or driver development.

Bisheng is a leading open-source **large model application development platform** that empowers and accelerates the development and deployment of large model applications, helping users enter the next generation of application development with the best possible experience.

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.

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

xef.ai is a one-stop library designed to bring the power of modern AI to applications and services. It offers integration with Large Language Models (LLM), image generation, and other AI services. The library is packaged in two layers: core libraries for basic AI services integration and integrations with other libraries. xef.ai aims to simplify the transition to modern AI for developers by providing an idiomatic interface, currently supporting Kotlin. Inspired by LangChain and Hugging Face, xef.ai may transmit source code and user input data to third-party services, so users should review privacy policies and take precautions. Libraries are available in Maven Central under the `com.xebia` group, with `xef-core` as the core library. Developers can add these libraries to their projects and explore examples to understand usage.

LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.

SimAI is the industry's first full-stack, high-precision simulator for AI large-scale training. It provides detailed modeling and simulation of the entire LLM training process, encompassing framework, collective communication, network layers, and more. This comprehensive approach offers end-to-end performance data, enabling researchers to analyze training process details, evaluate time consumption of AI tasks under specific conditions, and assess performance gains from various algorithmic optimizations.

CB-Tumblebug (CB-TB) is a system for managing multi-cloud infrastructure consisting of resources from multiple cloud service providers. It provides an overview, features, and architecture. The tool supports various cloud providers and resource types, with ongoing development and localization efforts. Users can deploy a multi-cloud infra with GPUs, enjoy multiple LLMs in parallel, and utilize LLM-related scripts. The tool requires Linux, Docker, Docker Compose, and Golang for building the source. Users can run CB-TB with Docker Compose or from the Makefile, set up prerequisites, contribute to the project, and view a list of contributors. The tool is licensed under an open-source license.

A reference tool for UK energy transmission campaigners.

Advanced expert in wireless energy transmission, innovating with technical excellence and industry leadership, powered by OpenAI.

Fragmented, potent guide in a surreal world.