Practical insights from profiq engineers on building better software—from applied AI and development to QA, DevOps, and life inside our team.
166 articles
4 min read
We’re excited to share profiq’s Top 5 blogs of 2024, 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.
4 min read
Effective communication is essential and life-saving in the elder care sector.
7 min read
Code reviews are a huge part of our day-to-day job and over the years I realized it takes time to learn how to write them in a way that is helpful and also encouraging.
5 min read
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. How easy is it to create a custom voice AI model that runs locally on your computer?
4 min read
In recent years, large language models (LLMs) have revolutionized the way we interact with technology.
9 min read
We tested Augment Code vs GitHub Copilot: Which is The Future of AI-Powered Code Generation? Read about it to find out.
3 min read
Learn how to make an autonomous web explorer tool, built on OpenAI's GPT-4o model, that extends the capabilities of traditional web scrapers by performing more complex interactions, such as clicking buttons and filling out forms.
3 min read
In this video, profiq’s Viktor Nawrath takes you behind the scenes of using LangSmith, a tool built for developers working with LLMs who need insight into how their AI models behave in production environments.
3 min read
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. Watch the demo video for Qwik.
3 min read
Learn more about the capabilities of MLflow when evaluating LLMs, watch the video by profiq’s Miloš Švaňa.
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