Media & Articles
Media mentions and press coverage appear first, followed by technical articles on machine learning, LLMs, and software engineering.
Coverage and mentions
Interviews, news, podcasts, and other external features.
Künstliche Intelligenz am Limit: ChatGPT erfindet neue Gemeinden
KI und ChatGPT – Vortrag in Krailling
HM Applying Science Magazin: Beitrag im Hochschulmagazin der Hochschule München (Seite 42)
HM Applying Science – Vortrag zu KI & ChatGPT
Technical writing
Long-form notes and tutorials from my own pen.
Context Engineering in 2 Minutes
Understanding why context engineering is crucial for LLM agents - giving models only what they really need for better performance and lower costs.
Boost Your RAG Pipeline Performance with Fine-Tuning Your Embedding Model
Learn how to fine-tune Hugging Face embedding models on your own data using contrastive learning with MultiNegativeRankingLoss.
Memory Requirements for Finetuning Large Language Models
Understanding the massive memory demands of finetuning 70B parameter models and efficient solutions like LoRA and QLoRA.
LLaMA2 PyTorch from Scratch (WiP)
This project aims to demystify the inner workings of modern Large Language Models (LLMs) by implementing Llama2 from scratch.