Best AI Tools for ML Engineers (2026)

Open-source reasoning AI model for complex problem solving

Monitor and debug LLM, CV, and tabular model performance in production.

Open-source AI agent that autonomously completes tasks with minimal input.

Run open-source AI models via API with pay-per-use pricing

Run open-source LLMs and custom models at scale

Serverless API access to thousands of open-source AI models

Open-source LLMOps platform for prompt management and LLM evaluation

Deploy generative AI models as containerized microservices

Machine learning automation for SQL databases

AI agent that automates tasks in Jupyter Lab notebooks

Framework for training AI systems using constitutional principles and feedback.

Crowdsourced AI model benchmarking platform

AI-native blockchain infrastructure for verifiable on-chain AI computation

Deploy and manage AI models without writing code.

Generative AI evaluation and observability platform