Augmenting LLM Prompts for Contextual Clarity: Building a RAG System using Gemma & MongoDB

Saarland University Informatics Campus, E1.3 SR 016, Saarbrücken, 66123

Exploring Google’s Generative Power: Join us for an insightful session on "Applying LLMs to Recommender Systems." Learn about state-of-the-art techniques for integrating large language models (LLMs) into recommender systems and discover how Retrieval-Augmented Generation (RAG) can enhance their performance and accuracy.

May 23, 4:00 – 5:30 PM



Key Themes

Explore MLGeminiGoogle AnalyticsMachine LearningTensorFlow / KerasWeb

About this event

🌐 Unlock the Power of GenAI with Google! 🚀

Get ready for an electrifying journey into the heart of the GenAI revolution at our session, "Applying LLMs to Recommender Systems"! 🌟

🧠 Ever wondered about the buzz surrounding LLMs and Recommender Systems? Delve into the world of Large Language Models (LLMs) with state-of-the-art techniques and witness their cutting-edge capabilities.

👩‍💻 Insights from a Google Dev. Expert: Learn from a seasoned Google Developer Expert and Women Techmakers (WTM) Ambassador, Ashmi Banerjee, who'll share real-world insights, experiences, and the key to leveraging GenAI for innovation.

🌈 Tech-Packed Session: Brace yourself for an immersive tech session that goes beyond the buzzwords, providing you with tangible skills and knowledge to navigate the current LLM and GenAI landscape.

👩‍💻 Takeaways: Gain valuable insights into the latest research and applications of LLMs in Recommender Systems, and receive curated materials for building applications! Links to curated references and repositories will be shared to help you get started.

🎁 Swags, Giveaways, and Prizes: Get ready to win exciting swags and fabulous prizes! 🎉

🍕 Pizza and Networking: Stick around for some delicious pizza and networking opportunities. Connect with fellow tech enthusiasts, share ideas, and explore potential collaborations.

🚨 Limited Seats: Limited seats avalable! Secure your spot now and be part of this journey.

🔗 Event Details:

📅 Date: May 23, 2024

🕒 Time: 6.00 pm - 7.30 pm

📍 Venue: Saarland University Informatics Campus, E1.3 SR 016, Saarbrücken, 66123

👩‍💻About the speaker:

Ashmi is currently a doctoral researcher at the Technical University of Munich (TUM). Her research focuses on Recommender Systems and Human-Computer Interaction. She graduated with a master's degree in Computer Science in 2019 from the same university and also holds three years of industry experience at different companies across Germany.

She is passionate about using technology to automate tedious tasks and is always excited to tackle new technical challenges. She has been a Google Developer Expert (GDE) in Machine Learning since 2023.

Ashmi was named one of the 100 technologists to watch for 2023 and won the Google Developer Expert Community Award (Rising Star), the Women Who Code Applaud Her Award (Data Science, 2023), and the DevelopHER Awards 2022 (Emerging Talent).

As a Google Women Techmakers (WTM) Ambassador diversity advocate, she is dedicated to closing the gender gap in STEM through her involvement in various women in STEM networks.

She travels or trains as a triathlete when not sitting in front of her computer. 🏊‍♀️ 🚴 🏃‍♀️

Don't miss the chance to be at the forefront of the LLM revolution! Join us for an unforgettable session that promises knowledge, community, and a whole lot of fun. Let's make GenAI the talk of the town! 🌐🚀 #RAG #RecommenderSystems #GenAI #LLMs


🎊 Stay Tuned for More: We having various upcoming workshops and events later this semester! 🌌



Thursday, May 23, 2024
4:00 PM – 5:30 PM UTC


Expert Session
Networking and Food


  • Ashmi Banerjee

    Deutsche Telekom

    Data Scientist


Google logo


Google Developer Experts logo

Google Developer Experts

Google Women Techmakers logo

Google Women Techmakers


  • Sohum Dhavale

    GDSC Lead

  • Rajkumar Vaghashiya

    GDSC Lead

  • Sarwagya Singh

    Esportzvio Private Limited

    GDSC Lead

  • Arin Sharma

    Marketing & Content Lead

  • Günce Su

    Strategy & Operations Lead

  • Bhuvaneshwaran I

    Tech Lead

  • Mrudula Ingale

    Core Team Member

  • Esha Verma


    Tech Lead, Cybersecurity

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