
How Developers at profiq Use AI

8 min read
The advent of large language models disrupted many fields.


8 min read
The advent of large language models disrupted many fields.


3 min read
In this video demo, profiq engineer Viktor Nawrath explores the intricacies and the realities of AI Computer Use, offering viewers a better understanding of what is possible when applying language models to control their computers and the benefits of doing so.


12 min read
Testing is crucial for producing reliable software.


4 min read
Effective communication is essential and life-saving in the elder care sector.


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
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
Learn more about the capabilities of MLflow when evaluating LLMs, watch the video by profiq’s Miloš Švaňa.


3 min read
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, we'll help you evaluate.
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