PyCon SK 2024

Amersfoort, The Netherlands — TED-style Xebia knowledge sharing session (XKE) in the Flint theatre in Amersfoort, sharing experiences on a three month working engagement at a health-tech company in Kenya.

MLOps has survived the hype cycle and is gaining in maturity. But are we looking at MLOps for answers for the right things? When should you even start thinking about MLOps, or when is ‘plain’ DevOps wiser to focus on first?

Eindhoven, The Netherlands — Retrieval Augmented Generation (RAG) is powerful. Let's go from Basic (chunking, vector embeddings, nearest-neighbor search) to Hybrid Search (TF-IDF, BM-25 and Reciprocal Rank Fusion) to Advanced (PDF parsing, tables, graphs) and finally, the cutting edge: Multimodal.

London, United Kingdom — MLOps takes the best of DevOps and applies it to operationalizing ML, introducing concepts like experiment tracking, dataset versioning, model registries, ML pipelines, CI/CD and better observability. But MLOps goes beyond just tech- MLOps is also about People and Process.