Papers Club “Leveraging LLMs: Use Cases and Fine-Tuning Strategies” (подія в архіві)

Gathers and Paris Women in Machine Learning and Data Science are jointly organizing a papers club [free moderated discussion] about "Leveraging LLMs: Use Cases and Fine-Tuning Strategies"🔥

You’ll explore the wide-ranging applications of Large Language Models [LLMs] and discover practical strategies for fine-tuning these models to address specific tasks and domains. The discussion will be useful for AI Researchers, Data Scientists, ML Engineers and anyone who’s interested in AI and ML.

💡Moderator: Abonia Sojasingarayar, ML Engineer at IBM.

💡Co-host: Jihane Bennis, WiMLDS Paris Co-Organizer.

WiMLDS Paris is a community for women who are passionate about ML & Data Science. Gathers is honored to partner with WiMLDS Paris as an information collaborator and co-organizer.

🔗Save the date: September 29th, 17:00 CEST.

🔗Format: online [zoom conference].

🔗Participation is free.

Learn more and register via the link: bit.ly/3riZbZJ