Skip to content

Details

Join us to learn from Dr Julian Seidenberg, a seasoned Artificial Intelligence Architect with two decades of experience, as he shares insights on best practices and tips for developing solutions using Large Language Model API’s.

There will be something for everyone, including software engineers and non-developers, ranging from beginner to very advanced techniques. You will learn proven tips and tricks and theory behind why these tricks work. This will include:

  • Key principles for success in LLM Applications Engineering.
  • What is GPT?
  • Basic prompting
  • What is a token?
  • GPT output formats
  • Speed/cost vs. accuracy trade-off
  • To replace humans or augment humans?
  • Techniques, tips and tricks to improve GPT responses.
  • Microsoft Azure vs. OpenAI
  • Which LLM is best?
  • Third-party libraries.
  • LLMs are eating the world (of AI).
  • Surviving the firehose of AI announcements.

This is a fantastic opportunity to learn what it takes to succeed in this hugely important domain which is full of opportunity at present.

Itinerary
6:00 pm - Pizza, drinks & networking (gf & vegan available for those who need them)
6:20 pm - Welcome
6:25 pm - Keynote

Many thanks to Vector Technology Solutions (VTS) for sponsoring and hosting this event!

-----------------------------------------------------------------

Please allow for bad traffic in the area and find a park early. Door access will not be available for long after 6pm, since the door needs to be staffed to allow access.

The front door on Carlton Gore Road locks at 5pm. Please use the side door on Clayton Street to access the building. Please bring ID for door access.

-----------------------------------------------------------------

Our meetups are inclusive and harassment is not tolerated. For more information, see our Code of Conduct: https://www.meetup.com/Auckland-AI-Meetup/messages/boards/thread/50720238

Events in Auckland, NZ
Artificial Intelligence
Machine Learning
Natural Language Processing
Data Analytics
Data Visualization

Members are also interested in