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.
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.
Technological advancements exhibit varying degrees of longevity. Some are tried and trusted, enduring longer than others, while other technologies succumb to fleeting hype without attaining substantive fruition. One constant, in this dynamic landscape is the data.Read
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