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ORGANIZER;CN=Lauren Prezby:mailto:lprezby@insum.ca
DESCRIPTION:Large language models (LLMs) are machine learning models that c
 an process and generate human language using deep neural network architect
 ures trained on massive amounts of text data. They have been used in a wid
 e variety of use cases\, including text classification\, generation\, summ
 arization\, and chat applications. However\, in some circumstances\, it is
  desirable to fine-tune an LLM on private data or perform specific tasks. 
 In this session\, we demonstrate how developers can perform the fine-tunin
 g\, using open source LLMs available from Hugging Face\, on Oracle Cloud I
 nfrastructure Data Science\, deploy the model\, and then use it to perform
  inferencing in an Oracle APEX application.\n\n\, Director of Innovation\,
  AI and Cloud Solutions\, Insum Solutions\n\, CEO\, Miracle Finland Oy\n
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 010000000B9E9E3FAEB5F544A964B152CBC3A5493
SUMMARY:Fine-Tune a Large Language Model for an Oracle APEX Application [LR
 N1061]
DTSTART:20240910T153000Z
DTEND:20240910T161500Z
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20240827T151002Z
TRANSP:OPAQUE
STATUS:CONFIRMED
LOCATION:Marco Polo 804\, The Venetian\, Level 1
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