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This blog is intended for software system engineers, architects and managers or people generally interested in development, testing and integration of software systems. It is part of profiq’s community effort that has the objective of sharing knowledge and ideas about software system integration, testing and development. In addition to this technical content, we share updates about life at profiq.

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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…

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.

json llm tools

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.

agent ai chatgpt large language models llm openai plugin

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…

#copilot ai chatgpt cypress github qa system testing test automation testing

Deploying and Scaling Elixir Apps: Heroku vs Fly.io

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…

devops technical research

When a user has a problem or an issue, it might seem logical to stop the conversation and immediately jump in with a solution. However, this can prevent us from truly understanding the customer’s needs and getting a broader view of the issue at hand. Active listening is an important component of any job - including in the software industry. We sat down recently with Dr. Erica Noll Webb, the senior research manager at Docker, to discuss the importance of customer-centric innovation and other timely topics related to her work.…

ai podcast ux

Empowering Users with Advanced Question-Answering Systems

For a long time, we have dreamt about systems able to answer questions related to a set of text documents — a next-gen search engine. As developers, we spend a significant portion of our time reading through documentation, trying to solve a specific problem. We are not alone. People in many other fields face similar problems. Addressing this issue could save an immense amount of time. The problem of answering a question from a set of text documents has been studied for quite some time. However, only the recent improvements…

ai machine learning technical research