Blog

As 2024 winds down, we’re excited to share our Top 5 blogs of the year, hand-selected by our team for their relevancy, innovations, and practicality for software developers. These blogs cover a wide range of topics from how to write better code and leveraging AI, to developing custom voice models and improving elder care communication. Each post offers actionable tips, real-world case studies, and expert perspectives that are sure to inspire and empower developers, engineers, and tech enthusiasts alike.  At the top of our list is Hana Klingova’s practical and…

In recent years, the rise of synthetic voice technology has opened up new possibilities for a variety of voice-based applications. Whether it's creating personalized voice assistants, enhancing accessibility tools, or developing unique AI-driven experiences, the potential is vast. But how easy is it to create a custom voice AI model that runs locally on your computer, without relying on cloud services? Applio offers a powerful, open-source solution making training and using a custom voice model accessible to everyone—from developers to creative teams. Unlike cloud-based alternatives, Applio does not require an…

In recent years, large language models (LLMs) have revolutionized the way we interact with technology. From enhancing productivity to enabling creative applications, their potential is vast. How challenging is it to run a powerful LLM directly on your PC or laptop? LM Studio is a user-friendly app that allows you to easily manage and run LLMs on your computer. It offers a streamlined interface, making it accessible even for those new to machine learning. In this video tutorial, Miloš Švaňa walks users through how to choose, download, and run an…

AI Developer Tools With the rapid advancements in large language models (LLMs) over the past few years, we’ve seen a surge in AI-powered developer tools. Since code is essentially text, it’s an ideal use case for LLMs. While there are many tools available to assist with software development, let’s focus on the most impactful ones: code completion and code manipulation tools. The most well-known tool in this space is GitHub Copilot, which gained immense popularity as one of the first to hit the market. However, there are now several new…

New frameworks and tools are constantly emerging, each promising to make our lives easier and our applications faster. But every so often, a framework comes along that doesn’t just promise incremental improvements—it redefines the game. Qwik is one such framework: built by performance nerds, for performance nerds.  Qwik introduces novel architecture that eliminates the need for the traditional UI hydration process, a step that often bogs down web apps with unnecessary overhead. Instead of rehydrating the entire UI on the client side, Qwik only activates the parts of the application…

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.

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?

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.

AI and AI-powered development have become incredibly hot topics in the technology industry. The potential of AI to revolutionize various fields is widely acknowledged, and while impressive, is still being developed. Researchers, developers, and organizations are actively exploring new ways to use AI. In this dynamic landscape, we at profiq are constantly seeking out and experimenting with new libraries, plugins, and tools that leverage AI. These resources aim to enhance productivity, automate repetitive tasks, and unlock new possibilities in software development. One such resource is GitHub Copilot (Copilot). Copilot is…

Phoenix is a popular Elixir web framework for building scalable, high-performance web applications. If you are building a large-scale Phoenix-based application platform, then you would most likely have a DevOps person or a DevOps team to deploy it in GCP or AWS with a Kubernetes orchestration engine. If you’re developing your app on your own or within a small team of developers, however, such cloud platforms and tools are unnecessarily sophisticated and complex for your needs. In this article, we will explore and compare two platforms that make the daunting…