What: Built an RL harness for teams to build ML models and data pipelines in a more autonomous way.
Free to try, up to 10gb in small file upload and 5m tokens per user per day.
Why: LLMs are great, and so are ML models that serve predictive insights on your data. This platform is a dedicated workhorse made for people that build engineer data and train ML models.
Some cool stuff:
- agents engineer your data and research optimal architectures for you on FSD
- hyperparameter tuning automated
- connect to your cloud data
- BYOK, BYOC, BYOS, or we can provide it for you
- 1 click for hosted inference
- kernels - unit of skill, allows for agents to save tokens and compute by modding what you've already built, allows for generalized components that can be used across multiple piplines and saves resources.
check out website blog for a detailed case study done with NOAA for more info on how it performs. Better yet, try it and lemme know what you think.
jiminseo•32m ago
Free to try, up to 10gb in small file upload and 5m tokens per user per day.
Why: LLMs are great, and so are ML models that serve predictive insights on your data. This platform is a dedicated workhorse made for people that build engineer data and train ML models.
Some cool stuff: - agents engineer your data and research optimal architectures for you on FSD - hyperparameter tuning automated - connect to your cloud data - BYOK, BYOC, BYOS, or we can provide it for you - 1 click for hosted inference - kernels - unit of skill, allows for agents to save tokens and compute by modding what you've already built, allows for generalized components that can be used across multiple piplines and saves resources.
check out website blog for a detailed case study done with NOAA for more info on how it performs. Better yet, try it and lemme know what you think.