Session

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.

Yasmin Bokobza

Machine Learning Scientist Leader & Startups Accelerator Mentor ​​at Microsoft

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