AI-MachineLearning
- Develop AI/ML platforms and frameworks (e.g., TensorFlow, PyTorch).
- Provide cloud-based environments for training and deploying models.
- Offer AutoML tools to automate model selection and tuning.
- Build APIs and SDKs for integrating AI into applications.
- Create tools for data preparation, labeling, and feature engineering.
- Enable model monitoring, versioning, and lifecycle management.
- Ensure ethical AI practices, fairness, and data privacy.
- Support real-time inference with scalable infrastructure.
- Offer pre-trained models for NLP, vision, and speech tasks.
- Provide consulting, support, and training for AI/ML adoption.