Free trial

New Engineering Leadership at profiq

We are pleased to announce the promotions of Martin Prokes to VP of Engineering and Petr Vecera to CTO. Both began working at profiq in 2014 as junior engineers, and have grown into technical and people leaders in our organization. 

Our people are our greatest assets, and the reason for our success. We grow organically from the bottom up, which creates opportunities for our employees. These changes bring new ideas and energy to our leadership team, and help us scale the organization while we continue to grow. We look forward to sharing more of these announcements with you in the future.

 

To learn more about Martin and Petr, read their bios here (note that they are in Czech, and can be translated with Google translate): 

Connect with us on social media for the latest news and more: 

 

profiq

Leave a Reply

Related articles

JSON

Let’s make LLMs generate JSON!

In this article, we are going to talk about three tools that can, at least in theory, force any local LLM to produce structured output: LM Format Enforcer, Outlines, and Guidance. After a short description of each tool, we will evaluate their performance on a few test cases ranging from book recommendations to extracting information from HTML. And the best for the end, we will show you how forcing LLMs to produce a structured output can be used to solve a very common problem in many businesses: extracting structured records from free-form text.

Notiondipity: What I learned about browser extension development

Me and many of my colleagues at profiq use Notion for note-taking and work organization. Our workspaces contain a lot of knowledge about our work, plans, or the articles or books we read. At some point, a thought came to my mind: couldn’t we use all this knowledge to come up with project ideas suited to our skills and interests?

From ChatGPT to Smart Agents: The Next Frontier in App Integration

It has been over a year since OpenAI introduced ChatGPT and brought the power of AI and large language models (LLMs) to the average consumer. But we could argue that introducing APIs for seamlessly integrating large language models into apps developed by companies and independent hackers all over the world can be the true game changer in the long term. Developers are having heated discussions about how we can utilize this technology to develop truly useful apps that provide real value instead of just copying what OpenAI does. We want to contribute to this discussion by showing you how we think about developing autonomous agents at profiq. But first a bit of background.

Tags