doppenhe

very cool , i wish it had multi screen mode

Very cool, does `npx hyperparam dataset.parquet` phone home?

Could HyParquet's approach be extended to other data formats beyond Parquet?

nice thanks for sharing

The rapid advancement of large language models (LLMs) like ChatGPT has captured headlines and imaginations. AI systems can now generate amazingly human-like text on any topic with just a few prompts.These behemoths, with their unparalleled capabilities, have necessitated a reevaluation of governance models. As organizations explore integrating LLMs into business operations, it’s crucial to implement governance measures enabling innovation while managing risks. As executives, understanding the transition from traditional machine learning governance to LLM-centric AI governance is crucial.

this makes me happy , I was the PM for that feature :)

This is great, thanks for sharing. Key component in evolving FM based applications is making them feel as deterministic as possible vs probabilistic. Framework like this would enable generating trust in the outputs of these FMs.. exciting.

Author here would love to discuss with the community

hi all creator here. We built this version of our product focused on dynamic data science teams that just wanted to be able to deploy, scale and run their models without worrying about ops. Some more details:

https://algorithmia.com/developers/teams

Deployment, inference and management can participate in this as well!

Here is the missing part for a total e2e solution: https://github.com/marketplace/actions/algorithmia-ci-cd

{disclaimer, we built this Github action}

It's not used for private models. Its meant to make sure if someone builds an application based on your models you won't yank that version from under them. If you never expose your model (for profit) you can delete at will and we have no rights.

Algorithmia here . What are you concerned about license wise? You own all ip always. There is some restrictions if you choose to commercialize on our service (mostly guarantee you won't take it down on users). System was built for this. Happy to answer questions

curious what kind of infrastructure have you built for deployment, serving and managing models?

Algorithmia | Sr. Software Engineer - Platform | REMOTE + ONSITE | Fulltime

Algorithmia is "DevOps for AI". The Algorithmia engineering team is responsible for building the Algorithmia platform, a highly-available distributed platform that runs the public algorithm marketplace on Algorithmia.com as well as large AI/ML workloads for our enterprise customers. Platform engineers build features and work with cloud providers to ensure our system is the most stable, highly-available, and feature-rich platform for AI/ML. Our stack includes Kubernetes, Docker, and various Java (Scala) microservices and backing stores.

https://algorithmia.bamboohr.com/jobs/view.php?id=34

please do!