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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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profiq Video Blog: How to Train and Use Your Own Voice AI Model with Applio

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…

profiq Video: Using LangSmith in a non-LangChain codebase by Viktor Nawrath

Applications powered by large language models (LLMs) need to be more than merely functional—they need to be scalable, reliable, and capable of continuous improvement over time. To make this happen, you need tools that allow you to trace and fine-tune your app's performance to identify inefficiencies, diagnose issues, and improve response quality. This is where LangSmith comes into play: a tool built for developers working with LLMs who need insight into how their AI models behave in production environments. LangSmith can be a game changer for AI developers. LangSmith gives…

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…

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.

agent ai chatgpt large language models llm openai plugin

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

Innovation is at the core of Profiq's mission. Arguably, the most innovative development in technology recently is ChatGPT, developed by OpenAI. In an earlier article, we explored OpenAI’s Codex model, which we used for code generation and editing. In this follow-up article, we share our experience leveraging OpenAI’s models programmatically via its API, for creating a plugin for Jetbrains IDEs. Querying OpenAI from the IDE We’ve been using ChatGPT from the browser in various ways to aid with our daily software development and QA. When the interaction with ChatGPT involves…

ai api chatgpt openai plugin