I’m happy to share that I will again be speaking at the Azure User Group Munich, as part of our recurring meetup series held every 2nd Tuesday of the month from 18:00–20:00 MEZ. This month, I’ll present a focused session on a topic that often gets overlooked but delivers a huge impact in search solutions: […]
Why Local AI Matters: How to Choose the Right Model Size for Your Device
Learn how to choose the right local AI model size for your device. A beginner-friendly guide to RAM, VRAM, quantization, and running models like Phi-3.5 locally
The Hidden Power of Synonyms in Azure AI Search
When teams first get started with Azure AI Search, everything feels incredibly intuitive.You create an index, push some documents, run a query, and—boom—you get results.Simple. Or at least it appears that way. But very quickly, anyone building real search experiences discovers that users never search the way you expect them to.They type shortcuts.They use internal […]
Understanding LLM Sampling: How Temperature, Top-K, and Top-P Shape next Word Selection in Azure OpenAI
Working with Transformer-based AI models often seems straightforward at first.You create a client—whether through an SDK or a REST call—send a prompt, and the model returns an answer.Simple. Or at least it appears that way. But very quickly, every practitioner encounters the configuration parameters exposed by these models:temperature, top_k, and top_p. Most developers are comfortable […]