Published inTowards Data ScienceBringing Structure to Your DataTesting assumptions with path modelsOct 145Oct 145
Published inTowards Data ScienceTake a Look Under the hoodUsing Monosemanticity to understand the concepts a Large Language Model learnedJun 13Jun 13
Published inTowards Data ScienceAn Overview of the LoRA FamilyLoRA, DoRA, AdaLoRA, Delta-LoRA, and more variants of low-rank adaptation.Mar 104Mar 104
Published inTowards Data ScienceThe German Tank ProblemEstimating your chances of winning the lottery with samplingMar 62Mar 62
Published inTowards Data ScienceHow Nightshade WorksConfusing image-generating AI with poisoned dataNov 3, 20233Nov 3, 20233
Published inTowards Data ScienceThe Capture-ReCapture MethodEstimating a population size without counting itSep 13, 2023Sep 13, 2023
Published inTowards Data ScienceMultilevel Regression Models and Simpson’s paradoxAvoiding false conclusions with the proper toolingAug 8, 20232Aug 8, 20232
Published inTowards Data ScienceDifferent ways of training LLMsAnd why prompting is none of themJul 21, 20233Jul 21, 20233
Published inTowards Data ScienceCode understanding on your own hardwareSetting up an LLM to talk about your code — with LangChain and local hardwareJul 5, 2023Jul 5, 2023
Published inTowards Data ScienceInteracting with large language modelsEnriching prompts to steer the model — explained for non-expertsMay 24, 2023May 24, 2023