Michał OleszakinTowards AIZero-Shot and Few-Shot Learning with LLMsGuidelines for optimal use.·13 min read·Apr 18, 2024----
Michał OleszakinTowards Data ScienceDesigning RAGsA guide to Retrieval-Augmented Generation design choices.·20 min read·Mar 14, 2024--10--10
Michał OleszakinTowards Data ScienceDetecting Concept Shift: Impact on Machine Learning PerformanceWhen should I retrain my model?14 min read·Jan 16, 2024--1--1
Michał OleszakinTowards Data ScienceEvaluating Large Language ModelsHow do you know how good your LLM is? A complete guide.·19 min read·Jan 14, 2024--3--3
Michał OleszakinTowards AIBuilding a Recommender for Implicit Feedback DataProvide personalized recommendations without knowing your users.·16 min read·Sep 4, 2023--2--2
Michał OleszakinTowards Data ScienceOrganizing a Machine Learning Monorepo with PantsStreamline your ML workflow management·20 min read·Aug 18, 2023--1--1
Michał OleszakinTowards AIAI Pulse #2: Meta’s Human-Like AI & Small Language ModelsMeta’s two new models learn more as humans do, and what do small language models actually learn?·6 min read·Jul 11, 2023----
Michał OleszakinTowards Data ScienceHow to Detect Data Drift with Hypothesis TestingHint: forget about the p-values·18 min read·May 17, 2023--1--1
Michał OleszakinTowards Data ScienceUnboxing DINOv2, Meta’s new all-purpose computer vision backboneAre vision foundational models catching up with LLMs?·8 min read·May 7, 2023--2--2
