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SciBite / Knowledge Hub / Resources / Getting your data right for AI [Webinar]

Getting your data right for AI [Webinar]

Overview

In this webinar, Harpreet Singh Riat, SciBite’s Director of Technical Sales talks about the challenges and solutions associated with using large language models (LLMs) when answering questions for Life Sciences research. He specifically focuses on the importance of adhering to the FAIR principle when preparing data. The talk sheds light on the limitations of LLMs, but also highlights their benefits in text summarization and language understanding, and how coupling with Retrieval Augmented Generation (RAG) and ontologies based data enrichment will enhance the accuracy of answers provided by LLMs.

Webinar highlights
  • Challenges of using LLMs, including issues related source credibility and data accuracy caused by hallucinations etc.
  • The significance of the FAIR (Findable, Accessible, Interoperable, and Reusable) principle in data preparation.
  • Retrieval Augmented Generation (RAG) coupled with Ontologies based document retrieval as a means to enhance the accuracy of answers from LLMs.

If you’re interested in delving further into these insights and learning how to ensure your data is right, contact SciBite and find out more about our solutions and how they can help you enhance data accuracy in your specific domain.
Watch the full webinar
Harpreet Singh Riat
Director of Technical Sales, SciBite

Harpreet is the Director of Technical Sales at SciBite, a leading data-first, semantic analytics software company. With a strong background in data management and analytics, Harpreet has played a vital role in assisting numerous organizations in implementing knowledge graphs, from data preparation to visualization to gaining insights.

Other articles by Harpreet:

  1. AI-based chat application for Life Sciences: Part I key considerations: read more
  2. AI-based chat application for Life Sciences: Part II role of ontologies; read more
  3. AI-based chat application for Life Sciences: Part III design decisions; read more
  4. Utilising the power of LLMs and ontologies in life sciences; watch webinar
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