PinnedLeonie MonigattiBuilding Retrieval-Augmented Generation SystemsA collection of articles for developing production-ready RAG applications·4 min read·Apr 2, 2024--1--1
PinnedLeonie MonigattiinTowards Data ScienceThe Kaggle Blueprints: Unlocking Winning Approaches to Data Science CompetitionsAn article series analyzing Kaggle competitions’ winning solutions for lessons we can apply to our own data science projects·2 min read·Mar 1, 2023--6--6
Leonie MonigattiinTowards Data ScienceThe Challenges of Retrieving and Evaluating Relevant Context for RAGA case study with a grade 1 text understanding exercise for how to measure context relevance in your retrieval-augmented generation system…·13 min read·Jun 10, 2024--3--3
Leonie MonigattiinTowards Data ScienceShifting Tides: The Competitive Edge of Open Source LLMs over Closed Source LLMsWhy I think smaller open source foundation models have already begun replacing proprietary models by providers, such as OpenAI, in…·6 min read·Apr 29, 2024--1--1
Leonie MonigattiinTowards Data ScienceIntro to DSPy: Goodbye Prompting, Hello Programming!How the DSPy framework solves the fragility problem in LLM-based applications by replacing prompting with programming and compiling·13 min read·Feb 27, 2024--12--12
Leonie MonigattiinTowards Data ScienceAdvanced Retrieval-Augmented Generation: From Theory to LlamaIndex ImplementationHow to address limitations of naive RAG pipelines by implementing targeted advanced RAG techniques in Python10 min read·Feb 19, 2024--9--9
Leonie MonigattiinTowards Data Science2023 in Review: Recapping the Post-ChatGPT Era and What to Expect for 2024How the LLMOps landscape has evolved and why we haven’t seen many Generative AI applications in the wild yet — but maybe in 2024.·7 min read·Dec 18, 2023--6--6
Leonie MonigattiinTowards Data ScienceEvaluating RAG Applications with RAGAsA framework with metrics and LLM-generated data to evaluate the performance of your Retrieval-Augmented Generation pipeline8 min read·Dec 13, 2023--5--5
Leonie MonigattiinTowards Data ScienceA Guide on 12 Tuning Strategies for Production-Ready RAG ApplicationsHow to improve the performance of your Retrieval-Augmented Generation (RAG) pipeline with these “hyperparameters” and tuning strategies10 min read·Dec 6, 2023--14--14
Leonie MonigattiinTowards Data ScienceImproving Retrieval Performance in RAG Pipelines with Hybrid SearchHow to find more relevant search results by combining traditional keyword-based search with modern vector search8 min read·Nov 28, 2023--8--8