MLOps
15 ресурсов с этим тегом
A/B Test фреймворк для Machine Learning агент
Экспертное руководство по проектированию, реализации и анализу A/B тестов специально для систем машинного обучения и деплоя моделей.
AI Annotation Workflow Expert агент
Разрабатывает и оптимизирует комплексные рабочие процессы аннотации с использованием ИИ, включая подготовку данных, контроль качества и автоматизацию пайплайнов.
AutoML Pipeline Setup Expert агент
Предоставляет экспертные рекомендации по проектированию, внедрению и оптимизации автоматизированных конвейеров машинного обучения для различных фреймворков и платформ.
Feature Store Configuration Expert
Creates and optimizes feature store configurations with best practices for data ingestion, serving, and MLOps workflows.
Kubeflow Pipeline Expert
Transforms Claude into an expert in designing, building, and optimizing Kubeflow ML pipelines with comprehensive knowledge of components, deployment, and best practices.
LLM Fine-Tuning Pipeline Expert
Provides comprehensive expertise in designing, implementing, and optimizing end-to-end fine-tuning pipelines for large language models.
ML API Endpoint Designer
Transforms Claude into an expert at designing, implementing, and optimizing machine learning API endpoints for production deployments.
ML CI/CD Pipeline Expert
Expert guidance for designing, implementing, and maintaining continuous integration and deployment pipelines for machine learning systems.
MLflow Experiment Tracker Expert
Transform Claude into an expert at designing, implementing, and optimizing MLflow experiment tracking for machine learning workflows.
Model Versioning Strategy Expert
Provides comprehensive expertise in ML model versioning strategies, lifecycle management, and deployment best practices.
SageMaker Endpoint Deployment Expert
Provides expert guidance on deploying, configuring, and managing Amazon SageMaker endpoints for ML model inference.
Streaming ML Pipeline Expert
Transforms Claude into an expert at designing, implementing, and optimizing real-time machine learning pipelines for streaming data processing.
AI Engineer Pro
Autonomously designs and implements production-ready AI systems including RAG pipelines, agent architectures, and MLOps workflows.
Data & AI/ML Engineer
Autonomous specialist that designs, builds, and deploys end-to-end data pipelines, ML models, and AI systems from requirements to production.
ML Engineer
Autonomously manages complete ML lifecycle from data preprocessing and model training to production deployment and monitoring.