In this session, we will explore Google's next-generation Multimodal Generative AI Model named Gemini, and delve into methods of Chaining, Embedding, Fine-tuning, and Evaluation for these types of Large Language Models (LLMs).

Specifically, we will examine how tools like the Prompt Toolkit LangChain can be integrated with the Gemini API, demonstrating practical applications and the advanced implementation of LLM technology in real-world scen

Language: English

Date & Location:

📅 Date: April 18th (Thursday)

🕒 Time: 18:30-21:00

📍 Location: Harbour.Space University, Barcelona, Carrer de Rosa Sensat 9-11, 6th floor. Open Space and online in Zoom (the link will be avaliable 15 min before the event for registered atendees). 

Workshop Lead: 

Sungmin Han, Tech Director at Riiid

"Currently leading the Tech department at Riiid, an AI education company, I specialize in development with Python, Pytorch, Kubernetes, Spark, and Cloud systems. Occasionally integrating the MLOps ecosystem, I am responsible for strategic and infrastructure decisions, architectural reviews, and overseeing high-end GPU (A100, H100) deployments and operations.

I also conceived and launched the LLM product development team. Now, I am steering the product through its entire lifecycle, aiming to serve the Brazilian public education system. Beyond leading the MLOps team, my focus at the product team level is on driving business impact in education innovation and revenue".