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= Special Session of the Ontolog Forum on GPT =
= Special Session of the Ontolog Forum on GPT =
''Evaluating and Reasoning with and about GPT''
Large Language Models are derived from large volumes of texts
Large Language Models are derived from large volumes of texts
stored on the WWW, and more texts acquired as they are used. GPT
stored on the WWW, and more texts acquired as they are used. GPT

Revision as of 00:10, 31 May 2023

Session GPT
Duration 1.5 hour
Date/Time 31 May 2023 16:00 GMT
9:00am PDT/12:00pm EDT
4:00pm GMT/5:00pm CST
Convener Ken Baclawski

Special Session of the Ontolog Forum on GPT

Evaluating and Reasoning with and about GPT

Large Language Models are derived from large volumes of texts stored on the WWW, and more texts acquired as they are used. GPT and related systems use the mathematical methods of tensor calculus to process LLMs in a wide range of AI applications. But the LLM methods are purely verbal. Their only connection to the world and human ways of thinking and acting is through the texts that people produce. Although quite useful, LLMs by themselves cannot support important AI methods of perception, action, reasoning, and cognition. For more general, precise, and reliable methods, they must be integrated with a broader range of AI technology.

Agenda

  1. Strengths and limitations of GPT
  2. Large Language Models (LLMs)
  3. From perception to cognition

Conference Call Information

  • Date: Wednesday, 31 May 2023
  • Start Time: 9:00am PDT / 12:00pm EDT / 6:00pm CEST / 5:00pm BST / 1600 UTC
  • Expected Call Duration: 1.5 hour
  • Video Conference URL
    • Conference ID: 837 8041 8377
    • Passcode: 323309
  • Chat Room

The unabbreviated URLs are:

Attendees

Discussion

Resources