Published inTowards Data ScienceFive Engineering Skills Every Data Scientist Should LearnRounding out tactics to help you stay competitive as a “full stack” data scientistOct 11Oct 11
Published inTowards Data ScienceUsing an iPad for Data Science in 2024Exploring the benefits and pitfalls of using Apple’s popular tablet for data science workSep 12Sep 12
Published inTowards Data ScienceEvaluating RAG Pipelines with RagasLeveraging the Ragas framework to determine the performance of your retrieval augmented generation (RAG) pipelineJun 303Jun 303
Published inTowards Data ScienceHow to Think About Using Your Company’s Information with GenAIAssessing the options for GenAI information integration along with considerations for your specific companyApr 71Apr 71
Published inTowards Data ScienceA High Level Guide to LLM Evaluation MetricsDeveloping an understanding of a variety of LLM benchmarks & scores, including an intuition of when they may be of value for your purposeFeb 274Feb 274
Published inTowards Data ScienceAn Intuition for How Models like ChatGPT WorkProviding an intuition on the ideas behind popular transformer models like ChatGPT and other large language models (LLMs)Dec 30, 20236Dec 30, 20236
Published inTowards Data ScienceFive Things GenAI Can and Can’t DoAn introductory guide for business leaders as to what Generative AI can or cannot doOct 7, 20234Oct 7, 20234
Published inTowards Data ScienceAn Introduction to OpenAI Function CallingNo more unstructured data outputs; turn ChatGPT’s completions into structured JSON!Jul 9, 202314Jul 9, 202314
Why I’m (Cautiously, Optimistically) Sold on Apple Vision ProHow Apple’s new “spatial computing” headset may change the worldJun 11, 2023Jun 11, 2023
Published inTowards Data ScienceAn Introduction to Polars for Pandas UsersDemonstrating how to use the new blazing fast DataFrame library for interacting with tabular dataMar 5, 20233Mar 5, 20233