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Guidelines to write for GenAI agents
Selvaraaju Murugesan
Abstract
This session, " Guidelines to write for GenAI agents" addresses the pressing need for swift, precise documentation responses to customer’s questions. With the emergence of advanced AI technologies like ChatGPT, users now expect a more intuitive experience. Attendees will gain insights into the inner workings of Language Model (LLM) technology and explore the Retrieval-Augmented Generation (RAG) framework, enhancing their understanding of AI-driven systems. Emerging best practices in content creation for AI-based agents will be discussed, empowering participants to create user-centric content that aligns seamlessly with GenAI-based agents, delivering accurate and timely responses.
Details
- Startzeit
- 06.03.2024 | 10:30 Uhr
- Endzeit
- 06.03.2024 | 12:00 Uhr
- Zeitzone
- Europe/Berlin
- Host/Gastgeber
- tekom Europe
- Aufzeichnung
- Aufzeichnung nur für eingeloggte Mitglieder verfügbar.
- Folien
- Folien nur für eingeloggte Mitglieder verfügbar.
Lernziele
- Understanding Language Model (LLM) technology
- Characteristics for writing for an AI-bot / Generative AI
- Insight into the Retrieval-Augmented Generation (RAG) framework
- Guidelines to write for GenAI agents
- Best practices
Speaker
Selvaraaju Murugesan
Selvaraaju (Selva) Murugesan received B.Eng. degree in Mechatronics Engineering (Gold medalist) from Anna University in 2004 and M.Eng. degree from LaTrobe University, Australia, in 2008. He has received his Ph.D. degree in Computational Mathematics, from LaTrobe University. He has worked extensively in the areas of AI for six years in Australia. He is working as Head of Data Science at SaaS startup Kovai.co overseeing data science and AI across SaaS products. His interests are in the areas of data analytics, AI and technical writing.