MLOps
MLOps, or Machine Learning Operations, refers to the set of practices, principles, and tools for deploying, managing, and monitoring machine learning models in production environments. MLOps aims to bridge the gap between the development of machine learning models and their operational use by streamlining the end-to-end ML lifecycle. It involves collaboration between data scientists, engineers, and IT operations to automate the deployment process, ensure model reliability, and facilitate continuous integration and delivery (CI/CD) of ML models.
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Mojo is a programming language and unified AI execution engine provided by Modular. It offers fast inference capabilities and efficient AI infrastructure for developers.
Zilliz is an open-source vector database designed for scalable similarity search and AI applications.
Verta Model Catalog is an AI-powered platform that simplifies the management, organization, and documentation of models for high-velocity Data Science and Machine Learning teams.
No-code AI platform for building complex applications on top of OpenAI with fine-tuning and long-term memory features.
SapientML is an AutoML technology that learns from existing datasets and their pipelines to generate high-quality pipelines for predictive tasks on new datasets. Boost AI model creation accuracy and speed.
Autonomous AI solution that replaces QA departments, automating test case design, execution, and bug detection, cutting costs and increasing speed.
Manage and personalize AI prompts with ease using Orquesta AI Prompts.
Flexible development framework for building and deploying AI-powered applications and agents to automate business processes and tasks.
An AI solution for early disease detection that improves patient outcomes by identifying high-risk individuals through data analysis.
Korbit is an AI-powered tool for instant code reviews, providing insights into code quality and developer performance to streamline software development.
AI platform for creating custom assistants, chatbots with document understanding, workflow automations, and various integrations.
Intelligent Workbooks facilitate business workflow automation using natural language, screenshots, and video recordings.
Entry Point AI is a platform for efficiently training, managing, and evaluating custom large language models with a no-code approach.
TensorFlow.js optimized for Node.js; fast serverless function initialization, compact module size, pre-trained models for machine learning tasks.
CodableAI is a web-based AI assistant for developers that offers code writing, debugging, and optimization through AI prompts and a smart chat interface.
ML infrastructure that provides performant, scalable, and cost-efficient deployment and serving of ML models. It offers optimized model packaging and automates scaling with increased traffic.
Efficient AI tool for embedding and retrieving diverse types of data within LLMs.
AllAPI.ai simplifies AI app development, offering a single API to integrate various AI models and plugins, aiding in faster product deployment.
AI assistant for developers to interpret engineering knowledge base and provide quick answers.
Abacus.AI is an end-to-end AI platform that enables real-time deep learning at scale. It offers AI-assisted data science and MLOps solutions for tasks like forecasting, personalization, anomaly detection, and natural language processing.