AI

AI hype often outpaces real results, especially for mid-market companies, because standalone models fall short. The key to success is a system-based approach. Read on to learn how to build custom AI solutions that return on investment.

Creating AI applications is easier than ever these days, especially in JavaScript. Discover how you can build your own in only a few minutes with Transformers.js!

Rotational has joined the US-EU Data Privacy Framework, reinforcing its commitment to privacy in an era of growing data-driven innovation and generative AI.

Life in a startup is a balancing act, with meetings the weights threatening to tip the scales. PMs must translate complex discussions into clear action items and make sure nothing slips through the cracks. Here’s my secret weapon.

Last month, we spoke to a panel of expert product managers who have successully implemented AI solutions in their organizations. This post recaps some of the key strategies and insights they shared.

I spent last week in San Francisco meeting up with the Rotational team to attend PyTorch Conference. If you’re an LLM developer and didn’t make it this year, here are some of my key highlights and takeaways.

If you’ve worked with generative AI models you know they can be fickle and sometimes fail to meet the expectations of users. How can we move towards models users trust and see clear value in? Let’s engineer a user-feedback loop!

Anyone who has worked on a POSIX system is used to fine-grained data access rights for files and directories. In a world of generative AI, do we need a new permissions model for files used to train LLMs and serve live inferences?

Why is everyone so excited by AI? Chatting with a bot isn’t the game changer. Instead, AI represents a new method of interacting with complex computing resources and data – one that is far more accessible than previous methods.

Over the past few years Atlanta’s tech scene has grown at a rapid pace. There was no better place for proof of this than at RenderATL 2024.