Shelf: A Leader in the 2026 Gartner® Magic Quadrant™ for Customer Service Knowledge Management Systems
Continuous Improvement and Machine Learning Ops (MLOps): image 1

Jan Stihec

Jan is an expert in data science and AI, bringing over a decade of experience in advancing data-driven solutions. Formerly the Head of Data Science at SilverBrain.ai, Jan has specialized in natural language processing, embedding models and information retrieval, with two scientific papers published in these fields. As a recognized voice in AI and NLP, Jan has shared insights at the European Conference on Information Retrieval 2018, the Financial Narrative Processing Conference 2021, and the Data Science Summit in 2023 and 2024. Now, as Director of Data & Analytics at Shelf, Jan leads innovation in knowledge and data management for GenAI.

AI Education
Continuous Improvement and Machine Learning Ops (MLOps): image 2
January 16, 2024

Written By Jan Stihec

Continuous Improvement and Machine Learning Ops (MLOps)

The effectiveness of AI implementations, such as generative AI, is intrinsically linked to the quality and structure of the underlying data. However, maintaining the relevance and quality of this data is not a one-time task. It requires a continuous improvement approach, where machine learning...

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AI Education
Midjourney depiction of an LLM receiving inputs
October 27, 2023

Written By Jan Stihec

The Influence of LLM Inputs on Outputs

Large language models analyze datasets to derive patterns and rules as a method of learning and replicating human intelligence. As you can probably guess, the dataset used in a model can dramatically alter its understanding. We’ve used a number of analogies to explain the significance of this, but it boils down to the same principle: the inputs in LLMs greatly influence the outputs.

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