Best AI tools for< Production Engineer >

Offshore Technology is a leading provider of news, data, and analysis for the global offshore oil and gas industry. The website covers the latest developments in exploration, production, offshore services and vessels, midstream energy, HSE, and more. Offshore Technology also provides in-depth analysis of the latest trends driving technology and innovation in the offshore industry.

Nomagic.ai is an intelligent robotics application that offers efficient item handling solutions for e-commerce and retail leaders seeking automation. The application provides services based on Intelligent Robotics to pick, sort, or pack a variety of SKUs, ensuring performance, reliability, and scalability. Nomagic combines expertise in robotics, cloud, and deep learning with logistics experience to deliver ROI below 2 years and cost reductions up to 75%. The application is designed to work seamlessly with AutoStore™ and offers dedicated solutions like justPick for reliable picking operations.

Auphonic is an AI-powered audio post-production web tool designed to help users achieve professional-quality audio results effortlessly. It offers a range of features such as Intelligent Leveler, Noise & Reverb Reduction, Filtering & AutoEQ, Cut Filler Words and Silence, Multitrack Algorithms, Loudness Specifications, Speech2Text & Automatic Shownotes, Video Support, Metadata & Chapters, and more. Auphonic is widely used by podcasters, educators, content creators, and audiobook producers to enhance their audio content and streamline their workflows. With its intuitive interface and advanced algorithms, Auphonic simplifies the audio editing process and ensures consistent audio quality across different platforms.

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.

Fireworks is a generative AI platform for product innovation. It provides developers with access to the world's leading generative AI models, at the fastest speeds. With Fireworks, developers can build and deploy AI-powered applications quickly and easily.

Inductor is a developer tool for evaluating, ensuring, and improving the quality of your LLM applications – both during development and in production. It provides a fantastic workflow for continuous testing and evaluation as you develop, so that you always know your LLM app’s quality. Systematically improve quality and cost-effectiveness by actionably understanding your LLM app’s behavior and quickly testing different app variants. Rigorously assess your LLM app’s behavior before you deploy, in order to ensure quality and cost-effectiveness when you’re live. Easily monitor your live traffic: detect and resolve issues, analyze usage in order to improve, and seamlessly feed back into your development process. Inductor makes it easy for engineering and other roles to collaborate: get critical human feedback from non-engineering stakeholders (e.g., PM, UX, or subject matter experts) to ensure that your LLM app is user-ready.

PoplarML is a platform that enables the deployment of production-ready, scalable ML systems with minimal engineering effort. It offers one-click deploys, real-time inference, and framework agnostic support. With PoplarML, users can seamlessly deploy ML models using a CLI tool to a fleet of GPUs and invoke their models through a REST API endpoint. The platform supports Tensorflow, Pytorch, and JAX models.

Melody ML is an AI-powered music processing tool that allows users to separate music tracks using machine learning technology. Users can upload songs, and the tool uses AI algorithms to extract vocals, drums, bass, and other instruments into separate stems. Melody ML offers a user-friendly platform for music enthusiasts, producers, and artists to enhance their music production process.

PyTorch is an open-source machine learning library based on the Torch library. It is used for applications such as computer vision, natural language processing, and reinforcement learning. PyTorch is known for its flexibility and ease of use, making it a popular choice for researchers and developers in the field of artificial intelligence.

KUNGFU.AI is a management consulting and engineering firm focused exclusively on artificial intelligence. They empower CEOs and senior executives to leverage the full potential of AI to remain competitive in a rapidly evolving world. With 30+ years of AI expertise and 100+ projects delivered, they craft impactful, ethical, and cutting-edge solutions to solve tough challenges and drive measurable business results. KUNGFU.AI stands out for implementing AI strategies into production quickly, safely, and responsibly.

sample.fit is an AI tool designed to revolutionize the audio exploration experience for indie music enthusiasts and producers. By leveraging cutting-edge machine learning technology, the platform processes and analyzes audio samples to create dynamic views for intuitive navigation through sample collections. The service offers a seamless and interactive platform for exploring and playback audio samples, enhancing creativity and sound production.

Allex is a project management and portfolio management software that offers a digital multi-project solution. It helps project professionals accelerate time-to-market results by harmonizing projects, resources, and tasks. The platform enables users to have a sweeping overview of projects, predict capacity bottlenecks, improve project coordination through collaboration, and communicate effectively with internal and external stakeholders. Allex is designed to handle complex projects and offers expert support to ensure informed decision-making from planning to launch.

Mutable.ai is an AI tool that provides human quality assistance with codebases. It offers features such as creating Wikipedia-style documentation for code, generating wiki articles automatically, and enabling AI chat for extracting answers quickly. The application aims to enhance productivity and satisfaction for software engineers by leveraging AI advancements to revolutionize programming methods. The team behind Mutable.ai includes experts from various prestigious backgrounds, ensuring high-quality service and support.

JFrog ML is an AI platform designed to streamline AI development from prototype to production. It offers a unified MLOps platform to build, train, deploy, and manage AI workflows at scale. With features like Feature Store, LLMOps, and model monitoring, JFrog ML empowers AI teams to collaborate efficiently and optimize AI & ML models in production.

Myple is an AI application that enables users to build, scale, and secure AI applications with ease. It provides production-ready AI solutions tailored to individual needs, offering a seamless user experience. With support for multiple languages and frameworks, Myple simplifies the integration of AI through open-source SDKs. The platform features a clean interface, keyboard shortcuts for efficient navigation, and templates to kickstart AI projects. Additionally, Myple offers AI-powered tools like RAG chatbot for documentation, Gmail agent for email notifications, and AskFeynman for physics-related queries. Users can connect their favorite tools and services effortlessly, without any coding. Joining the beta program grants early access to new features and issue resolution prioritization.

GitLab is a comprehensive AI-powered DevSecOps platform that balances speed and security in a single platform. It automates software delivery, boosts productivity, and secures the end-to-end software supply chain. GitLab simplifies the toolchain by providing all essential DevSecOps tools in one place, accelerates software delivery with automation and AI-powered workflows, and integrates security seamlessly. It allows users to deploy anywhere without cloud vendor lock-in, offering value stream management, analytics, and insights to accelerate coding and optimize processes.

GitLab is a comprehensive AI-powered DevSecOps platform that balances speed and security in a single platform. It automates software delivery, boosts productivity, and secures the end-to-end software supply chain. GitLab simplifies the toolchain by providing all essential DevSecOps tools in one place, accelerates software delivery through automation and AI-powered workflows, and integrates security seamlessly. It allows users to deploy anywhere without cloud vendor lock-in, offering value stream management, analytics, and insights to accelerate coding. GitLab is trusted by industry leaders for building mission-critical software and is recognized as a Leader in DevOps Platforms by various industry analysts.

Wild Moose is an AI-powered SRE Copilot tool designed to help companies handle incidents efficiently. It offers fast and efficient root cause analysis that improves with every incident by automatically gathering and analyzing logs, metrics, and code to pinpoint root causes. The tool converts tribal knowledge into custom playbooks, constantly improves performance with a system model that learns from each incident, and integrates seamlessly with various observability tools and deployment platforms. Wild Moose reduces cognitive load on teams, automates routine tasks, and provides actionable insights in real-time, enabling teams to act fast during outages.

Confident AI is an open-source evaluation infrastructure for Large Language Models (LLMs). It provides a centralized platform to judge LLM applications, ensuring substantial benefits and addressing any weaknesses in LLM implementation. With Confident AI, companies can define ground truths to ensure their LLM is behaving as expected, evaluate performance against expected outputs to pinpoint areas for iterations, and utilize advanced diff tracking to guide towards the optimal LLM stack. The platform offers comprehensive analytics to identify areas of focus and features such as A/B testing, evaluation, output classification, reporting dashboard, dataset generation, and detailed monitoring to help productionize LLMs with confidence.

Salad is a distributed GPU cloud platform that offers fully managed and massively scalable services for AI applications. It provides the lowest priced AI transcription in the market, with features like image generation, voice AI, computer vision, data collection, and batch processing. Salad democratizes cloud computing by leveraging consumer GPUs to deliver cost-effective AI/ML inference at scale. The platform is trusted by hundreds of machine learning and data science teams for its affordability, scalability, and ease of deployment.

The ai-cli-lib is a library designed to enhance interactive command-line editing programs by integrating with GPT large language model servers. It allows users to obtain AI help from servers like Anthropic's or OpenAI's, or a llama.cpp server. The library acts as a command line copilot, providing natural language prompts and responses to enhance user experience and productivity. It supports various platforms such as Debian GNU/Linux, macOS, and Cygwin, and requires specific packages for installation and operation. Users can configure the library to activate during shell startup and interact with command-line programs like bash, mysql, psql, gdb, sqlite3, and bc. Additionally, the library provides options for configuring API keys, setting up llama.cpp servers, and ensuring data privacy by managing context settings.

The LLM Engineer's Handbook is an official repository containing a comprehensive guide on creating an end-to-end LLM-based system using best practices. It covers data collection & generation, LLM training pipeline, a simple RAG system, production-ready AWS deployment, comprehensive monitoring, and testing and evaluation framework. The repository includes detailed instructions on setting up local and cloud dependencies, project structure, installation steps, infrastructure setup, pipelines for data processing, training, and inference, as well as QA, tests, and running the project end-to-end.

ScaleLLM is a cutting-edge inference system engineered for large language models (LLMs), meticulously designed to meet the demands of production environments. It extends its support to a wide range of popular open-source models, including Llama3, Gemma, Bloom, GPT-NeoX, and more. ScaleLLM is currently undergoing active development. We are fully committed to consistently enhancing its efficiency while also incorporating additional features. Feel free to explore our **_Roadmap_** for more details. ## Key Features * High Efficiency: Excels in high-performance LLM inference, leveraging state-of-the-art techniques and technologies like Flash Attention, Paged Attention, Continuous batching, and more. * Tensor Parallelism: Utilizes tensor parallelism for efficient model execution. * OpenAI-compatible API: An efficient golang rest api server that compatible with OpenAI. * Huggingface models: Seamless integration with most popular HF models, supporting safetensors. * Customizable: Offers flexibility for customization to meet your specific needs, and provides an easy way to add new models. * Production Ready: Engineered with production environments in mind, ScaleLLM is equipped with robust system monitoring and management features to ensure a seamless deployment experience.

The LLM Twin Course is a free, end-to-end framework for building production-ready LLM systems. It teaches you how to design, train, and deploy a production-ready LLM twin of yourself powered by LLMs, vector DBs, and LLMOps good practices. The course is split into 11 hands-on written lessons and the open-source code you can access on GitHub. You can read everything and try out the code at your own pace.

ZenML is an extensible, open-source MLOps framework for creating portable, production-ready machine learning pipelines. By decoupling infrastructure from code, ZenML enables developers across your organization to collaborate more effectively as they develop to production.

Ludwig is a declarative deep learning framework designed for scale and efficiency. It is a low-code framework that allows users to build custom AI models like LLMs and other deep neural networks with ease. Ludwig offers features such as optimized scale and efficiency, expert level control, modularity, and extensibility. It is engineered for production with prebuilt Docker containers, support for running with Ray on Kubernetes, and the ability to export models to Torchscript and Triton. Ludwig is hosted by the Linux Foundation AI & Data.

This repository is a curated list of open-source libraries for production large language models. It includes tools for data preprocessing, training/finetuning, evaluation/benchmarking, serving/inference, application/RAG, testing/monitoring, and guardrails/security. The repository also provides a new category called LLM Cookbook/Examples for showcasing examples and guides on using various LLM APIs.

Flo AI is a Python framework that enables users to build production-ready AI agents and teams with minimal code. It allows users to compose complex AI architectures using pre-built components while maintaining the flexibility to create custom components. The framework supports composable, production-ready, YAML-first, and flexible AI systems. Users can easily create AI agents and teams, manage teams of AI agents working together, and utilize built-in support for Retrieval-Augmented Generation (RAG) and compatibility with Langchain tools. Flo AI also provides tools for output parsing and formatting, tool logging, data collection, and JSON output collection. It is MIT Licensed and offers detailed documentation, tutorials, and examples for AI engineers and teams to accelerate development, maintainability, scalability, and testability of AI systems.

Motia is an AI agent framework designed for software engineers to create, test, and deploy production-ready AI agents quickly. It provides a code-first approach, allowing developers to write agent logic in familiar languages and visualize execution in real-time. With Motia, developers can focus on business logic rather than infrastructure, offering zero infrastructure headaches, multi-language support, composable steps, built-in observability, instant APIs, and full control over AI logic. Ideal for building sophisticated agents and intelligent automations, Motia's event-driven architecture and modular steps enable the creation of GenAI-powered workflows, decision-making systems, and data processing pipelines.

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

tinyllm is a lightweight framework designed for developing, debugging, and monitoring LLM and Agent powered applications at scale. It aims to simplify code while enabling users to create complex agents or LLM workflows in production. The core classes, Function and FunctionStream, standardize and control LLM, ToolStore, and relevant calls for scalable production use. It offers structured handling of function execution, including input/output validation, error handling, evaluation, and more, all while maintaining code readability. Users can create chains with prompts, LLM models, and evaluators in a single file without the need for extensive class definitions or spaghetti code. Additionally, tinyllm integrates with various libraries like Langfuse and provides tools for prompt engineering, observability, logging, and finite state machine design.

Yalm (Yet Another Language Model) is an LLM inference implementation in C++/CUDA, emphasizing performance engineering, documentation, scientific optimizations, and readability. It is not for production use and has been tested on Mistral-v0.2 and Llama-3.2. Requires C++20-compatible compiler, CUDA toolkit, and LLM safetensor weights in huggingface format converted to .yalm file.

Ahnlich is a tool that provides multiple components for storing and searching similar vectors using linear or non-linear similarity algorithms. It includes 'ahnlich-db' for in-memory vector key value store, 'ahnlich-ai' for AI proxy communication, 'ahnlich-client-rs' for Rust client, and 'ahnlich-client-py' for Python client. The tool is not production-ready yet and is still in testing phase, allowing AI/ML engineers to issue queries using raw input such as images/text and features off-the-shelf models for indexing and querying.

Agenta is an open-source LLM developer platform for prompt engineering, evaluation, human feedback, and deployment of complex LLM applications. It provides tools for prompt engineering and management, evaluation, human annotation, and deployment, all without imposing any restrictions on your choice of framework, library, or model. Agenta allows developers and product teams to collaborate in building production-grade LLM-powered applications in less time.

**RVC_CLI: Retrieval-based Voice Conversion Command Line Interface** This command-line interface (CLI) provides a comprehensive set of tools for voice conversion, enabling you to modify the pitch, timbre, and other characteristics of audio recordings. It leverages advanced machine learning models to achieve realistic and high-quality voice conversions. **Key Features:** * **Inference:** Convert the pitch and timbre of audio in real-time or process audio files in batch mode. * **TTS Inference:** Synthesize speech from text using a variety of voices and apply voice conversion techniques. * **Training:** Train custom voice conversion models to meet specific requirements. * **Model Management:** Extract, blend, and analyze models to fine-tune and optimize performance. * **Audio Analysis:** Inspect audio files to gain insights into their characteristics. * **API:** Integrate the CLI's functionality into your own applications or workflows. **Applications:** The RVC_CLI finds applications in various domains, including: * **Music Production:** Create unique vocal effects, harmonies, and backing vocals. * **Voiceovers:** Generate voiceovers with different accents, emotions, and styles. * **Audio Editing:** Enhance or modify audio recordings for podcasts, audiobooks, and other content. * **Research and Development:** Explore and advance the field of voice conversion technology. **For Jobs:** * Audio Engineer * Music Producer * Voiceover Artist * Audio Editor * Machine Learning Engineer **AI Keywords:** * Voice Conversion * Pitch Shifting * Timbre Modification * Machine Learning * Audio Processing **For Tasks:** * Convert Pitch * Change Timbre * Synthesize Speech * Train Model * Analyze Audio

Athina is an open-source library designed to help engineers improve the reliability and performance of Large Language Models (LLMs) through eval-driven development. It offers plug-and-play preset evals for catching and preventing bad outputs, measuring model performance, running experiments, A/B testing models, detecting regressions, and monitoring production data. Athina provides a solution to the flaws in current LLM developer workflows by offering rapid experimentation, customizable evaluators, integrated dashboard, consistent metrics, historical record tracking, and easy setup. It includes preset evaluators for RAG applications and summarization accuracy, as well as the ability to write custom evals. Athina's evals can run on both development and production environments, providing consistent metrics and removing the need for manual infrastructure setup.

The AI Bootcamp is a comprehensive training program focusing on real-world applications to equip individuals with the skills and knowledge needed to excel as AI engineers. The bootcamp covers topics such as Real-World PyTorch, Machine Learning Projects, Fine-tuning Tiny LLM, Deployment of LLM to Production, AI Agents with GPT-4 Turbo, CrewAI, Llama 3, and more. Participants will learn foundational skills in Python for AI, ML Pipelines, Large Language Models (LLMs), AI Agents, and work on projects like RagBase for private document chat.

OpenCat is an open-source Arduino and Raspberry Pi-based quadruped robotic pet framework developed by Petoi. It aims to foster collaboration in quadruped robotics research, education, and engineering development of agile and affordable quadruped robot pets. The project provides a base open source platform for creating programmable gaits, locomotion, and deployment of inverse kinematics quadruped robots, enabling simulations to the real world via block-based coding/C/C++/Python programming languages. Users have deployed various robotics/AI/IoT applications and the project has successfully crowdfunded mini robot kits, shipped worldwide, and established a production line for affordable robotic kits and accessories.

AI Engineering Academy aims to provide a structured learning path for individuals looking to learn Applied AI effectively. The platform offers multiple roadmaps covering topics like Retrieval Augmented Generation, Fine-tuning, and Deployment. Each roadmap equips learners with the knowledge and skills needed to excel in applied GenAI. Additionally, the platform will feature Hands-on End-to-End AI projects in the future.

Don’t know where to even begin? Let me help create a roadmap towards the career of your dreams! Type "help" for More Information

制定和实施质量管理体系；审核和改进质量管理体系；培训和指导员；处理质量问题；与其他部门协调；持续改进

💡 Inventor of vehicles 🚀

Top Global AI Expert in Oil & Gas, powered by OpenAI

I decode acronyms from the oil & gas industry, asking for context if needed.

Optimizes production processes for improved efficiency and quality.

Your go-to assistant for all music production needs. I am AI Music Production Assistant, designed to assist with a wide range of music production needs. My expertise encompasses songwriting, composition, music theory, and audio engineering.

Your personal audio mixing and mastering engineer assistant for music production

It acts as an instructor guiding you through music production skills, such as fine-tuning parameters in mixing, mastering, and compression. Additionally, it functions as an aide, offering advice for your music production hurdles with just a screenshot of your production or parameter settings.

Optimizes production processes for efficient large-scale operations.

Expert on hydrogen production systems and the hydrogen economy.

Lightweight autonomous ai agents that build production ready applications from prompts

Artistic and informative advice on audio/video recording and music production.

Guides users in music production with FL Studio.

Your friendly Ableton and music production expert.

Enhances manufacturing operations through advanced mechanical engineering expertise.

I'm an EDM Producer here to help you master electronic music production and mixing!

Interactive music production assistant with simulated expert collaboration.

Discusses oil drilling, energy production, and environmental impact.

AI music production assistant with integrated music data for current trends.