The session will bring clarity to prompt engineering and how prompt engineering can increase the accuracy of LLM output, hence expanding the business scenarios that LLMs can solve.
Key Takeaways
- Prompt engineering
- Best practices for effective use of LLMs
- LLMs Use cases.
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Bio
Sridhar Deenadayalan- Head of Artificial Intelligence and Machine Learning | City Facilities Management| Australia
Sridhar comes with 25 years of industry experience covering wide range of Leadership roles in Enterprise Architecture, Cloud Business Strategy, IT Infrastructure Management, Consulting, Projects and Services.
Sridhar’s key expertise is in Data and AI and he has led Microsoft Azure Cloud business for Cloud Service providers before. Worked at Microsoft in various capacities covering Consulting, Partner Tech Strategy and as a Principal for Data & AI Architecture.
Currently he is the Head of Artificial Intelligence and Machine Learning at City Facilities Management and his team is implementing AI solutions to improve productivity and safety.
ANZ-Stage 2 2024
Sridhar Deenadayalan- Head of Artificial Intelligence and Machine Learning | City Facilities Management| Australia