Question: How can I measure the machine learning capabilities of my computer or mobile device?
Primate Labs
If you want to test your computer or phone's machine learning abilities, Primate Labs has a few tools to help you do so. The company's most popular tool, Geekbench, is a widely used cross-platform processor benchmark that tests both 32-bit and 64-bit performance. Geekbench ML is a machine learning benchmark that lets you test your device's ML abilities.
LLM Explorer
If you want to focus on language models specifically, LLM Explorer is an all-purpose tool to explore and compare a vast library of open-source Large Language Models (LLMs) and Small Language Models (SLMs). The tool is geared for AI enthusiasts and pros, with categorized lists, benchmarks and detailed model information that can help you find the right models for your needs.
BenchLLM
If you're a developer wanting to test and compare LLM-based software, BenchLLM is useful. It lets you create test suites for your models and generate reports, with support for automated, interactive and custom evaluation methods. It can be integrated with popular APIs like OpenAI and Langchain, so it's a good option for monitoring performance in production.
MLflow
If you want to oversee the entire ML project lifecycle, MLflow is a good option. This open-source MLOps platform tracks experiments, manages models and deploys them to different environments. MLflow supports popular deep learning libraries like PyTorch and TensorFlow, and it offers a single environment for managing ML workflows. That makes it a good option for practitioners and teams trying to collaborate better and work more efficiently.
