Szymon Pacholski Site

Accelerating Language Models with KV Caching

Published: 2025-12-15

A deep dive into one of the most important optimizations in the LLM world: KV Caching. Learn how it works, why it matters, and what trade-offs it involves.

From POC to Production: How to Avoid Burning Your AI Budget and Common Pitfalls

AI/LLMMLOps

Published: 2025-12-08

Learn how to overcome analysis paralysis in AI adoption, start with small steps, and avoid the 5 most common mistakes that turn AI projects into budget black holes instead of successful implementations.

How to Scale LLM Applications in Production

AI/LLMMLOps

Published: 2025-12-04

Building a ChatGPT prototype takes one evening. Deploying it to thousands of users? That's where the real engineering begins. Learn how to transition from 'works on my machine' to stable production using modern LLM tooling.

High Computational Costs and Infrastructure in Working with LLMs - How to Reduce Them

AI/LLMMLOps

Published: 2025-09-29

Large language models offer tremendous capabilities but come with significant infrastructure and computational costs. Learn practical techniques to optimize expenses while maintaining response quality - from fine-tuned smaller models to hybrid architectures.

How to Handle Constant LLM Model Changes in Business

AI/LLMMLOps

Published: 2025-09-08

Large Language Models evolve rapidly with new versions every few months. Learn how to build stable processes that adapt to constant model evolution while maintaining product reliability.

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Accelerating Language Models with KV Caching

From POC to Production: How to Avoid Burning Your AI Budget and Common Pitfalls

How to Scale LLM Applications in Production

High Computational Costs and Infrastructure in Working with LLMs - How to Reduce Them

How to Handle Constant LLM Model Changes in Business