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Are you developing an application and looking to integrate large language model (LLM) features? With multiple options like GPT, Gemini, Claude, and open-source models from Hugging Face, choosing the right solution can be overwhelming. Each model offers unique strengths, from GPT's versatile text generation to Claude's detailed descriptions, and an open-source model's flexibility. Integrating LLM features can significantly enhance your application by providing capabilities such as natural language understanding, text generation, and intelligent automation. To make an informed decision, it’s essential to evaluate your application's specific needs, compare model performances,…

This year’s Company Weekend had a beach vibe, and we headed to the water. Our base for an unforgettable weekend full of adrenaline, fun, and relaxation were the Nove Mlyny reservoirs near Pálava in South Moravia.

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.

You’ve probably heard about clean code – whether you’re an experienced developer or a total newbie. But what the heck is clean code, and why should you even care?

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…

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.…

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…