Dina BerenbaumRed Teaming AI: A Closer Look at PyRITDiscover how PyRIT can streamline your AI model evaluations. Dive deep into its modules and explore this open-source Microsoft library.May 22May 22
Dina BerenbaumEnhancing JSON Output with Large Language Models: A Comprehensive GuideIn the realm of Large Language Models (LLMs), generating structured JSON outputs presents unique challenges. This guide explores various…Jan 183Jan 183
Dina BerenbaumLook ma, with hands! Using Handlebar.js templating to get exactly what you want from GPT4Yet another prompt engineering technique. But if you want to have your LLM output a very specific structure, you’ve come to the right…Aug 21, 2023Aug 21, 2023
Dina BerenbaumCreating your own Q&A chatbot over your markdown documents using LangChainPractical step-by-step guide on how to use LangChain to create a personal or inner company chatbot. Examples using Azure and Weaviate.Jun 15, 20232Jun 15, 20232
Dina BerenbaumKeeping up with research: how to stay on top of things when time is pressing and the publications…The research in the area of Machine learning and Data science is exploding, both in academia and in the industry. In 2020, 54,160 papers…Jan 19, 2022Jan 19, 2022
Dina BerenbaumMore with less: using pooling to detect coronavirus with fewer testsA week ago, as part of an academia-ministry of health brainstorming, I suggested to Prof. Roy Kishony, my former advisor, the idea of…Mar 18, 20203Mar 18, 20203
Dina BerenbauminTowards Data ScienceIs it easy to explain? Local explainabilityWhy should I trust your explanations? A more critical outlook at the most common explainability methods, their advantages but also…Feb 2, 2020Feb 2, 2020
Dina BerenbauminTowards Data ScienceIs it easy to explain? Global explainability in Boosted TreesWhy should I trust your explanations? A more critical outlook at the most common explainability methods, their advantages but also…Jan 23, 2020Jan 23, 2020
Dina BerenbauminTowards Data ScienceTake a deeper look at your Pytorch model with the new Tensorboard built-inDeep learning models are often complex, hard to understand and used as a “black box”. Making your model more accessible and visualize its…Aug 25, 2019Aug 25, 2019