
Yasmin Bokobza
Machine Learning Scientist Leader & Startups Accelerator Mentor at Microsoft
Actions
Yasmin is a Machine Learning Scientist Leader and Mentor in the Startups Accelerator program at Microsoft. Her work focuses on developing Machine Learning (ML) models for Microsoft Cloud Computing Platforms and Services. Part of her work has been filed as patents, published in Microsoft Journal of Applied Research (MSJAR), and presented at various conferences, meetups and webinars.
Previously her work focused on the security field developing ML models to detect cyber-attacks and methods to harvest leaked information in social networks using socialbots and crawler and detecting the source of the leak. She listed as a cyber threat detection method patent author and part of her research was published at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
Yasmin graduated fast track for MSc degree, that focused on Machine Learning & Security, in the department of Information Systems Engineering at Ben-Gurion University in Israel.
Maximizing LLM Impact : Harnessing Prompt Engineering & LLMOps
Prompt engineering and LLMOps stand as cornerstones in unlocking the full potential of Language Models (LLMs) tailored to specific business requirements. This session serves as a guide to navigating the intricacies of prompt engineering, a realm where the quality of input prompts shapes the performance of LLMs.
Through a comprehensive exploration, attendees will delve into fundamental principles, effective prompt design strategies, and the nuances distinguishing various prompt types. From zero-shot to few-shot prompting, participants will gain invaluable insights into tailoring prompts for diverse tasks such as summarization and question answering.
The session offers a deep dive into the core principles of prompt design, emphasizing the importance of specificity and clarity in crafting prompts that resonate with LLMs. Attendees will be exposed the transformative potential of prompt engineering techniques, including practical demonstrations illustrating their application in real-world scenarios.
Furthermore, the session presenting attendees with cutting-edge tools to streamline AI workflows and amplify the capabilities of Generative AI. Practical insights will be shared to empower attendees in harnessing the full potential of LLMs.
Join us to equip yourself with the knowledge and tools that help you to maximize the performance of Language Models tailored to your business needs.
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top