
The Art and Science of Testing LLM-Powered Applications: Best Practices and Tools

12 min read2 years ago
Testing is crucial for producing reliable software.


12 min read2 years ago
Testing is crucial for producing reliable software.


4 min read2 years ago
Effective communication is essential and life-saving in the elder care sector.


5 min read2 years ago
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 read2 years ago
In recent years, large language models (LLMs) have revolutionized the way we interact with technology.


9 min read2 years ago
We tested Augment Code vs GitHub Copilot: Which is The Future of AI-Powered Code Generation? Read about it to find out.


3 min read2 years ago
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 read2 years ago
Learn more about the capabilities of MLflow when evaluating LLMs, watch the video by profiq’s Miloš Švaňa.


3 min read2 years ago
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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15 min read2 years ago
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.
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12 min read2 years ago
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?
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