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Unlocking Real-World LLM Use Cases

Posted Oct 09, 2023 | Views 540
# LLM Use Cases
# RAG
# Google Cloud
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Hamsa Buvaraghan
Head of AI Solutions @ Google Cloud

Hamsa is a visionary leader with over 20 years of experience building products and solutions that leverage AI to solve some of the world's most pressing problems. As the Head of Google Cloud's AI Solution team, she is leading the charge in helping businesses harness the power of AI to achieve their goals and make a positive impact on the world.

Hamsa is also a passionate advocate for women in leadership and a champion for diversity and inclusion in the tech industry. She is a frequent speaker at industry events and the author of the upcoming book Persuasive Leadership: True Stories of Influential Leadership, which will share her insights on how to build and lead teams that are both successful and impactful.

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Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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SUMMARY

Unlock the power of real-world LLM use cases and learn how to keep them grounded and deliver accurate results through techniques such as Retrieval Augmented Generation (RAG). Leverage Databases with vector support as a bridge between LLMs and your enterprise Gen AI apps.

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