LLM

How you can Analyze and Optimize Your LLMs in 3 Steps

in production, actively responding to user queries. Nevertheless, you now need to improve your model to handle a bigger fraction of customer requests successfully. How do you approach this? In this text, I discuss...

Stopping Context Overload: Controlled Neo4j MCP Cypher Responses for LLMs

models connected to your Neo4j graph gain incredible flexibility: they'll generate any Cypher queries through the Neo4j MCP Cypher server. This makes it possible to dynamically generate complex queries, explore database structure, and...

The best way to Context Engineer to Optimize Query Answering Pipelines

engineering is some of the relevant topics in machine learning today, which is why I’m writing my third article on the subject. My goal is to each broaden my understanding of engineering contexts...

Tips on how to Develop a Bilingual Voice Assistant

, and Siri are the ever-present voice assistants that serve many of the web connected population today. For essentially the most part, English is the dominant language used with these voice assistants. Nonetheless, for...

How one can Develop Powerful Internal LLM Benchmarks

LLMs being released almost weekly. Some recent releases we’ve had are Qwen3 coing models, GPT 5, Grok 4, all of which claim the highest of some benchmarks. Common benchmarks are Humanities Last Exam,...

LLM Monitoring and Observability: Hands-on with Langfuse

: You will have built a fancy LLM application that responds to user queries about a selected domain. You will have spent days organising the entire pipeline, from refining your prompts to adding context...

“Where’s Marta?”: How We Removed Uncertainty From AI Reasoning

“stochastic parrots” to AI models winning math contests? While there may be definitely doubt that LLMs are truly PhD-level thinkers as advertised, the progress in complex reasoning situations is undeniable. A popular trick has...

How We Reduced LLM Costs by 90% with 5 Lines of Code

feeling when all the pieces to be working just positive, until you look under the hood and realize your system is burning 10× more fuel than it must? We had a client script...

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