Best AI tools for< Bridge Engineer >

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.

RealEngineers is an innovative AI-powered job platform that revolutionizes the engineering hiring process. Unlike traditional job sites, it focuses on detailed project-based profiles instead of resumes, leveraging AI to match skills and experiences with job requirements. Employers can evaluate candidates quickly and fairly, while candidates can showcase their authenticity and detailed projects to stand out. The platform aims to provide a level playing field for all candidates and help bridge the gap between talent and opportunity in the engineering industry.

Tektonic AI is an AI application that empowers businesses by providing AI agents to automate processes, make better decisions, and bridge data silos. It offers solutions to eliminate manual work, increase autonomy, streamline tasks, and close gaps between disconnected systems. The application is designed to enhance data quality, accelerate deal closures, optimize customer self-service, and ensure transparent operations. Tektonic AI is founded by industry veterans with expertise in AI, cloud, and enterprise software.

Next AI Jobs is an AI-powered platform that specializes in connecting professionals with job opportunities in the fields of Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and Data Science. The platform utilizes advanced algorithms to match candidates with relevant job listings, streamlining the recruitment process for both employers and job seekers. Next AI Jobs provides a user-friendly interface where users can create profiles, upload resumes, and apply for jobs with ease. With a focus on the rapidly growing AI industry, Next AI Jobs aims to bridge the gap between talented individuals and top-tier companies seeking AI expertise.

Fractional AI is an AI tool that specializes in developing AI-powered solutions for various applications, such as automating content moderation, building API integrations, and personalizing learning experiences. The tool leverages advanced AI models like GPT 4o and GPT 3.5 to provide efficient and effective solutions for complex tasks. Fractional AI aims to bridge the gap between AI development and production by offering tailored AI solutions to meet specific business needs.

The website features Grok-1.5, an AI application that bridges the gap between the digital and physical worlds through its multimodal model. Grok-1.5 boasts enhanced reasoning capabilities and a context length of 128,000 tokens. Additionally, the platform offers PromptIDE, an IDE for prompt engineering and interpretability research, allowing users to create and share complex prompts in Python. Grok, an AI modeled after the Hitchhiker’s Guide to the Galaxy, is also available on the site, providing answers to a wide range of questions and even suggesting relevant queries. The platform aims to facilitate knowledge sharing and exploration through advanced AI technologies.

Signapse AI is an innovative platform that revolutionizes accessibility by providing AI-powered sign language translation services. The platform offers solutions for transport, websites, and video content, making communication more inclusive for Deaf individuals. Signapse utilizes Generative AI technology to deliver accurate and engaging sign language translations, bridging the communication gap and ensuring organizations are fully accessible. With a diverse team of Deaf and hearing entrepreneurs, engineers, and researchers, Signapse is dedicated to creating cutting-edge AI solutions for sign language interpretation and translation.

AI-Weekly is the world's #1 online resource for current news and trends in artificial intelligence. It provides weekly newsletters covering the latest developments in AI, including articles on healthcare revolution, synthetic data, and augmented LLMs. The platform aims to bridge the gap between AI enthusiasts and experts by offering insightful content and analysis on AI technologies.

The United States Artificial Intelligence Institute (USAII) is an AI certification platform offering a range of self-paced and powerful Artificial Intelligence certifications. The platform provides certifications for professionals at different experience levels, from beginners to experts, covering topics such as Neural Network Architectures, Deep Learning, Computer Vision, AI Adoption Strategies, and more. USAII aims to bridge the global AI skill gap by developing industry-relevant skills and certifying professionals. The platform offers exclusive AI learning programs for high school students and emphasizes the importance of AI education for future innovators.

MachineTranslation.com is a platform dedicated to making machine translation accessible and reliable for everyone. Leveraging the latest advances in AI and machine learning, the platform offers accurate translation services in a wide range of languages. The team behind MachineTranslation.com consists of experienced linguists, researchers, and engineers who have developed a solution to empower effective communication through technology.

Dualite is an AI-powered tool designed to automate frontend development by converting UI designs and prototypes into high-quality and reusable code. It aims to expedite product development speed significantly by streamlining the workflow and bridging the gap between designers and developers. Dualite offers two modes - Page Mode for designers and Component Mode for developers, with features such as fast conversion of complex designs to code, generating high-quality reusable code components, and understanding design semantics using AI. The tool is trusted by over 12K users and has received positive feedback for its accuracy, simplicity, and time-saving capabilities.

Multiverse is an AI-powered platform that helps employers and individuals bridge skills gaps by offering professional apprenticeships and personalized learning pathways. It provides AI-powered assessments to diagnose skills challenges, personalized learning plans, and on-the-job training. Multiverse aims to transform careers by supporting workforce transformation through upskilling and reskilling. The platform offers an ecosystem of human and AI support to ensure learners are never alone in their learning journey. Multiverse is trusted by 1,500 companies across the UK & US, with a tracked return-on-investment of £2 billion for customers to date.

Webopedia is an online tech resource that simplifies complex IT and computer science concepts through easily digestible definitions, guides, and reviews. It aims to bridge the knowledge gap by connecting curious minds with the right resources, regardless of their technical background.

AI Summer is a free educational platform that covers research and applied trends in AI and Deep Learning. It provides accessible and comprehensive content from the entire spectrum of AI to bridge the gap between researchers and the public. The platform simplifies complex concepts and drives scientific research by offering highly-detailed overviews of recent deep learning developments and thorough tutorials on popular frameworks. AI Summer is a community that seeks to demystify the AI landscape and enable new technological innovations.

DBiz.ai is a high-performing product and engineering company that partners with organizations using AI-first strategies to develop digital solutions. They empower customers to preserve and enhance their current business while building the innovative future they desire through AI-driven solutions. DBiz.ai harnesses the power of AI technology to drive business success with innovative solutions, nurturing a thriving community and empowering humanity to ignite positive change using AI technology. They bridge the gap between end customer needs, business objectives, and IT organizations, inspiring and advising businesses to drive innovation and growth with cutting-edge BizDevOps strategy and advanced AI-enabled Platform Engineering Framework.

Ottic is an AI tool designed to empower both technical and non-technical teams to test Language Model (LLM) applications efficiently and accelerate the development cycle. It offers features such as a 360º view of the QA process, end-to-end test management, comprehensive LLM evaluation, and real-time monitoring of user behavior. Ottic aims to bridge the gap between technical and non-technical team members, ensuring seamless collaboration and reliable product delivery.

Answer.AI is a practical AI R&D lab that creates end-user products based on foundational research breakthroughs. They focus on creating practical solutions and products using AI technologies. The lab aims to bridge the gap between theoretical research and real-world applications by developing innovative AI solutions.

AI Experts is an AI agency that helps businesses integrate AI into their operations. They offer a range of AI-driven tools for content creation, data analysis, and more. Their mission is to bridge the gap between groundbreaking AI advancements and business goals.

TextLayer is an AI-powered research companion that simplifies access to the latest research in machine learning. It empowers users to turn new discoveries into powerful solutions by providing personalized recommendations, AI-generated insights, and implementation support. The platform offers curated AI-generated summaries of research papers, tailored recommendations, and a chat integration for interacting with AI. TextLayer aims to bridge the gap between complex ML research papers and understanding, fostering curiosity, innovation, and shaping the future of Artificial Intelligence.

ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) is a research center focusing on Data Science, Artificial Intelligence, and Big Data with locations in Dresden and Leipzig. It is one of the five new AI centers in Germany funded under the federal government's AI strategy by the Federal Ministry of Education and Research and the Free State of Saxony. The center collaborates closely with TUD Dresden University of Technology and Leipzig University, aiming to bridge the gap between mass data utilization, knowledge management, and advanced AI methods.

AGiXT is a dynamic Artificial Intelligence Automation Platform engineered to orchestrate efficient AI instruction management and task execution across a multitude of providers. Our solution infuses adaptive memory handling with a broad spectrum of commands to enhance AI's understanding and responsiveness, leading to improved task completion. The platform's smart features, like Smart Instruct and Smart Chat, seamlessly integrate web search, planning strategies, and conversation continuity, transforming the interaction between users and AI. By leveraging a powerful plugin system that includes web browsing and command execution, AGiXT stands as a versatile bridge between AI models and users. With an expanding roster of AI providers, code evaluation capabilities, comprehensive chain management, and platform interoperability, AGiXT is consistently evolving to drive a multitude of applications, affirming its place at the forefront of AI technology.

This repository is a collection of tools and resources for deep learning infrastructure, covering programming languages, algorithms, acceleration techniques, and engineering aspects. It provides information on various online tools for chip architecture, CPU and GPU benchmarks, and code analysis. Additionally, it includes content on AI compilers, deep learning models, high-performance computing, Docker and Kubernetes tutorials, Protobuf and gRPC guides, and programming languages such as C++, Python, and Shell. The repository aims to bridge the gap between algorithm understanding and engineering implementation in the fields of AI and deep learning.

This repository focuses on utilizing generative AI to bridge the gap between natural language questions and SQL queries, aiming to improve data consumption in enterprise data warehouses. It addresses challenges in SQL query generation, such as foreign key relationships and table joins, and highlights the importance of accuracy metrics like Execution Accuracy (EX) and Exact Set Match Accuracy (EM). The workshop content covers advanced prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning models, and security measures against prompt and SQL injections.

MCP-Bridge is a middleware tool designed to provide an openAI compatible endpoint for calling MCP tools. It acts as a bridge between the OpenAI API and MCP tools, allowing developers to leverage MCP tools through the OpenAI API interface. The tool facilitates the integration of MCP tools with the OpenAI API by providing endpoints for interaction. It supports non-streaming and streaming chat completions with MCP, as well as non-streaming completions without MCP. The tool is designed to work with inference engines that support tool call functionalities, such as vLLM and ollama. Installation can be done using Docker or manually, and the application can be run to interact with the OpenAI API. Configuration involves editing the config.json file to add new MCP servers. Contributions to the tool are welcome under the MIT License.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

QuantaLogic is a ReAct framework for building advanced AI agents that seamlessly integrates large language models with a robust tool system. It aims to bridge the gap between advanced AI models and practical implementation in business processes by enabling agents to understand, reason about, and execute complex tasks through natural language interaction. The framework includes features such as ReAct Framework, Universal LLM Support, Secure Tool System, Real-time Monitoring, Memory Management, and Enterprise Ready components.

RecAI is a project that explores the integration of Large Language Models (LLMs) into recommender systems, addressing the challenges of interactivity, explainability, and controllability. It aims to bridge the gap between general-purpose LLMs and domain-specific recommender systems, providing a holistic perspective on the practical requirements of LLM4Rec. The project investigates various techniques, including Recommender AI agents, selective knowledge injection, fine-tuning language models, evaluation, and LLMs as model explainers, to create more sophisticated, interactive, and user-centric recommender systems.

This repository, Online RLHF, focuses on aligning large language models (LLMs) through online iterative Reinforcement Learning from Human Feedback (RLHF). It aims to bridge the gap in existing open-source RLHF projects by providing a detailed recipe for online iterative RLHF. The workflow presented here has shown to outperform offline counterparts in recent LLM literature, achieving comparable or better results than LLaMA3-8B-instruct using only open-source data. The repository includes model releases for SFT, Reward model, and RLHF model, along with installation instructions for both inference and training environments. Users can follow step-by-step guidance for supervised fine-tuning, reward modeling, data generation, data annotation, and training, ultimately enabling iterative training to run automatically.

Craftgen.ai is an innovative AI platform designed for both technical and non-technical users. It's built on a foundation of graph architecture for scalability and the Actor Model for efficient concurrent operations, tailored to both technical and non-technical users. A key aspect of Craftgen.ai is its modular AI approach, allowing users to assemble and customize AI components like building blocks to fit their specific needs. The platform's robustness is enhanced by its event-driven architecture, ensuring reliable data processing and featuring browser web technologies for universal access. Craftgen.ai excels in dynamic tool and workflow generation, with strong offline capabilities for secure environments and plans for desktop application integration. A unique and valuable feature of Craftgen.ai is its marketplace, where users can access a variety of pre-built AI solutions. This marketplace accelerates the deployment of AI tools but also fosters a community of sharing and innovation. Users can contribute to and leverage this repository of solutions, enhancing the platform's versatility and practicality. Craftgen.ai uses JSON schema for industry-standard alignment, enabling seamless integration with any API following the OpenAPI spec. This allows for a broad range of applications, from automating data analysis to streamlining content management. The platform is designed to bridge the gap between advanced AI technology and practical usability. It's a flexible, secure, and intuitive platform that empowers users, from developers seeking to create custom AI solutions to businesses looking to automate routine tasks. Craftgen.ai's goal is to make AI technology an integral, seamless part of everyday problem-solving and innovation, providing a platform where modular AI and a thriving marketplace converge to meet the diverse needs of its users.

This repository provides a Docker image that acts as an AirPrint bridge for local printers, allowing them to be exposed to iOS/macOS devices. It runs a container with CUPS and Avahi to facilitate this functionality. Users must have CUPS drivers available for their printers. The tool requires a Linux host and a dedicated IP for the container to avoid interference with other services. It supports setting up printers through environment variables and offers options for automated configuration via command line, web interface, or files. The repository includes detailed instructions on setting up and testing the AirPrint bridge.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

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.

AIKA (Artificial Intelligence for Knowledge Acquisition) is a new type of artificial neural network designed to mimic the behavior of a biological brain more closely and bridge the gap to classical AI. The network conceptually separates activations from neurons, creating two separate graphs to represent acquired knowledge and inferred information. It uses different types of neurons and synapses to propagate activation values, binding signals, causal relations, and training gradients. The network structure allows for flexible topology and supports the gradual population of neurons and synapses during training.

Aiohue is an asynchronous library designed to control Philips Hue lights. It requires Python 3.10+ and utilizes asyncio and aiohttp. The library supports both V1 and V2 APIs of the Hue Bridge, with V2 API offering event-based updates to eliminate the need for polling. The contribution guidelines emphasize matching object hierarchy and property/method names with the Philips Hue API.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

AgentBench is a benchmark designed to evaluate Large Language Models (LLMs) as autonomous agents in various environments. It includes 8 distinct environments such as Operating System, Database, Knowledge Graph, Digital Card Game, and Lateral Thinking Puzzles. The tool provides a comprehensive evaluation of LLMs' ability to operate as agents by offering Dev and Test sets for each environment. Users can quickly start using the tool by following the provided steps, configuring the agent, starting task servers, and assigning tasks. AgentBench aims to bridge the gap between LLMs' proficiency as agents and their practical usability.

InstructGraph is a framework designed to enhance large language models (LLMs) for graph-centric tasks by utilizing graph instruction tuning and preference alignment. The tool collects and decomposes 29 standard graph datasets into four groups, enabling LLMs to better understand and generate graph data. It introduces a structured format verbalizer to transform graph data into a code-like format, facilitating code understanding and generation. Additionally, it addresses hallucination problems in graph reasoning and generation through direct preference optimization (DPO). The tool aims to bridge the gap between textual LLMs and graph data, offering a comprehensive solution for graph-related tasks.

Grounded 3D-LLM is a unified generative framework that utilizes referent tokens to reference 3D scenes, enabling the handling of sequences that interleave 3D and textual data. It transforms 3D vision tasks into language formats through task-specific prompts, curating grounded language datasets and employing Contrastive Language-Scene Pre-training (CLASP) to bridge the gap between 3D vision and language models. The model covers tasks like 3D visual question answering, dense captioning, object detection, and language grounding.

Latent Box is a curated collection of resources for AI, creativity, and art. It aims to bridge the information gap with high-quality content, promote diversity and interdisciplinary collaboration, and maintain updates through community co-creation. The website features a wide range of resources, including articles, tutorials, tools, and datasets, covering various topics such as machine learning, computer vision, natural language processing, generative art, and creative coding.

Awesome-Graph-LLM is a curated collection of research papers exploring the intersection of graph-based techniques with Large Language Models (LLMs). The repository aims to bridge the gap between LLMs and graph structures prevalent in real-world applications by providing a comprehensive list of papers covering various aspects of graph reasoning, node classification, graph classification/regression, knowledge graphs, multimodal models, applications, and tools. It serves as a valuable resource for researchers and practitioners interested in leveraging LLMs for graph-related tasks.

Provides expert guidance in transportation engineering projects.

A knowledgeable guide on KBT Waterproofing Type 5 Eliminator bridge membrane.

Your AI bridge to the Internet of Things! Easily connect, control, and automate your smart devices with voice or text commands. 🏠💎

Direct intermediary for user prompts to DALL-E 3.

Civil Engineering expert

Expert in engineering knowledge

Professioneller, lockerer Ingenieursexperte, nutzt Fachwörter mit Erklärungen und löst Aufgaben

Ondersteun die skep van prompt vir ChatGpt - Afrikaanse taal

Bilingual translator with a focus on Jodo Shinshu Buddhism.

Trilingual dictionary for Japanese, English, and Chinese with examples and grammar.

A multilingual chatbot fostering cultural dialogue and understanding.

Chat with your departed pet. Provide their name and photo for a personalized experience.

Bridging leadership insights from the 1960s to 2020s, from Boomers to Gen Z.

Directly quotes Western philosophers without analysis.

A conversational bridge to your Philips Hue Lights. Shape your ambiance with a simple chat.

Expert in US-UK cultural and economic comparisons.

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A multilingual equity classroom bridging educational gaps by translating and adapting school tasks to fit every family's native language, language level, and cultural background. (Experimental Beta version)

🌃 Innovative, Imaginative Cuty Designer