Bringing AI To Perl

• The AI Perl Committee exists to organize and promote AI projects within the global Perl community.
• The committee is governed by democratically-elected leadership, and all major decisions are decided by the vote of committee members.
• Committee meetings have openly-available agendas and minutes for the public record.
• Perl community members are invited to apply for membership in the committee.
• Meetings are held every other Thursday from 2:00pm to 3:00pm central time zone. The first meeting date of 2024 is 1/11.
• Hackathons are held every 6 weeks on the Wednesday night before a meeting from 7:00pm to 9:00pm central time zone (unless otherwise stated). AI Perl Hackathon dates for 2024 are 1/10, 2/21, 4/3, 5/15, 6/26, 8/7, 9/18, 10/30, and 12/11.
• The goal is to have major ongoing AI Perl accomplishments by our committee.

Neural Networks in Perl

• Considered to be the most powerful AI technology currently known, neural networks can mimic the human brain.


• One of the most powerful neural network libraries is TensorFlow by Google.


• The AI Perl Committee has released the TensorFlow API thanks to a generous grant through The Perl Foundation, enabling you to run neural networks directly in Perl.


• The AI Perl Committee is continuing to develop additional neural networks thanks to a generous grant through the Public Enrichment and Robotics Laboratories nonprofit organization.


• The goal is to develop full TensorFlow support in Perl.

Large Language Models in Perl

• Useful for more than just chatbots, large language models can also generate computer source code.


• One of the most powerful source code LLMs is Code Llama by Meta (Facebook).


• The Code Llama LLMs are fine-tuned using a number of languages, but not Perl.


• The AI Perl Committee is currently developing the PerlGPT LLM - AKA Code Llama Perl or Perl Llama - thanks to a generous grant through the Public Enrichment and Robotics Laboratories, which will enable you to automatically read and write Perl source code.


• The goal is to develop full Code Llama support in Perl.