Ori AbramovskyinTowards AISimplifying LLM Development: Treat It Like Regular MLThe secret sauce — approach it as yet another Machine Learning projectAug 23Aug 23
Ori AbramovskyinTowards Data ScienceClassifying Source code using LLMs — What and HowSharing our experience at making LLM-based Source Code classifierDec 28, 2023Dec 28, 2023
Ori AbramovskyinTowards AI3 years of Google Colab usage — The good, the bad and the uglySummarising 3 years of extensive Colab useMay 12, 2023May 12, 2023
Ori AbramovskyinTowards AITaking into account temporal aspects of Machine Learning appsTemporal features require special handling, for some cases it can even mean to overfit on purposeJan 19, 2023Jan 19, 2023
Ori AbramovskyCheck Point CloudGuard Spectral exposes new obfuscation techniques for malicious packages on PyPIPiPY malicious package uses Steganography to hide its intent and GitHub open-source projects to infect usersNov 10, 2022Nov 10, 2022
Ori AbramovskyinTowards AISteps Toward MLOps Research — Software Engineering Your AIKey concepts to make sure your AI developments are Production readyJul 21, 2022Jul 21, 2022
Ori AbramovskyinTowards Data ScienceThe inherent Train-Inference mismatch of SourceCodeAIWhat to do when we train on X, inference on Y, and measure on ZMay 25, 2022May 25, 2022
Ori AbramovskyinTowards Data ScienceAnalyzing customers state using spatial Anomaly DetectionWhat to do what only unlabeled data is availableApr 27, 2022Apr 27, 2022
Ori AbramovskyinTowards Data ScienceSourceCodeAI — Deep Learning for Source Code — Why and HowYet another NLP? No No and NoMar 28, 2022Mar 28, 2022
Ori AbramovskyinCodeXDo data practitioners are the new (security) weakest link?Secrets in codeMar 2, 2022Mar 2, 2022