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SciBite / Knowledge Hub / Resources / Utilising the power of LLMs and ontologies in life sciences [Webinar]

Utilising the power of LLMs and ontologies in life sciences [Webinar]
Dolomites at night

Hear from our Director of Technical Sales, Harpreet Singh Riat, as he delves into the essential requirements of such applications, the role of Large Language Models (LLMs), and the importance of ontologies in enhancing accuracy and context understanding.

He will discuss SciBite’s strategic design decisions in integrating LLMs and ontologies into a Retrieval Augmented Generation (RAG) system, focusing on the establishment of a robust information retrieval system, semantic parsing of natural language questions, and explainability in answer generation.
Watch the Full Webinar

Discover the power of utilising LLMs and ontologies in life sciences in this webinar – take a peek at the full webinar with this brief overview!

We will also highlight how SciBite’s modular tools can support you in your journey, whether you’re aiming to build your own application or opt for a ready-made solution. We’ll explore scenarios such as enhancing a basic RAG design, improving a vector search or Knowledge Graph (KG), and building an information retrieval system with SciBite’s Named Entity Recognition (NER) tool and semantic search system.

Watch the full webinar and gain insights into the key benefits of such a system, including accuracy, transparency, and flexibility, and learn how SciBite’s innovative approach can empower your operations in the rapidly advancing technological landscape of life sciences.

Presenter(s): 

  • Harpreet Singh Riat, Director of Technical Sales at SciBite
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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https://scibite.com/knowledge-hub/news/ai-based-chat-application-for-life-sciences/ thumbnail image News AI-based chat application for life sciences [Part 1]: Key considerations

Are your teams now posing potentially confidential questions to consumer tools such as Bard and ChatGPT, relying on their responses?

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https://scibite.com/knowledge-hub/news/ai-based-chat-application-role-of-ontologies/ thumbnail image News AI-based chat application for life sciences [Part 2]: Role of ontologies
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https://scibite.com/knowledge-hub/news/ai-based-chat-application-design-decisions/ thumbnail image News AI-based chat application for life sciences [Part 3]: Design decisions

In this third installment of our series, we delve into the crucial design decisions that shaped our AI-based chat application for Life Sciences, focusing on the integration of LLMs and ontologies for efficient information retrieval.

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