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DTSTAMP:20260616T031007Z
UID:86c42844-ad7b-4ff4-acaa-e9586c85b4fa
DTSTART:20250305T090000Z
DTEND:20250305T170000Z
DESCRIPTION:As large language models (LLMs) continue to revolutionise artif
 icial intelligence applications\, the importance of high-quality data prep
 aration has never been more critical. This webinar dives into the art and 
 science of preparing datasets for effective LLM training\, offering action
 able insights for AI practitioners\, data scientists\, and engineers.We wi
 ll explore the end-to-end process of data preparation\, beginning with dat
 a collection strategies and progressing through cleaning\, preprocessing\,
  tokenisation\, and annotation. Emphasis will be placed on identifying and
  mitigating biases\, managing multilingual datasets\, and ensuring data qu
 ality and diversity to enhance model performance. Real-world case studies 
 will illustrate common pitfalls and solutions\, while hands-on demonstrati
 ons will provide practical techniques for optimising datasets.Participants
  will gain a deeper understanding of how well-structured and curated data 
 can significantly impact an LLM’s capabilities\, reduce training costs\,
  and improve ethical AI outcomes. Whether you are building LLMs from scrat
 ch or fine-tuning existing models\, this session will equip you with the k
 nowledge to leverage your data assets effectively.Join us to unlock the po
 tential of data preparation and enable your LLMs to achieve unparalleled p
 erformance and generalisation.
LOCATION:\, 
SUMMARY:Developing a dataset for LLM projects
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/developing-dataset-llm-
 projects
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