HeyAI 2023

Berlin September 22, 2023


CFP closed at  April 10, 2023 11:04 UTC

HeyAI is the conference for Generative Artificial Intelligence.

Whether you are able to join us in person or prefer to attend remotely, we have you covered. We will be streaming the sessions online in a hybrid format, so everyone can participate from wherever they are.

Our goal is to bring together GenAI enthusiasts from all over the world to share their knowledge, experiences, and ideas. We are looking for engaging and informative talks that cover a wide range of topics related to GenAI.

While the event is hybrid, all the talks are in-person.

CFP Description

We are excited to hear your ideas and showcase the talents of the GenAI community.

Our conference is focused on Generative Artificial Intelligence we welcome proposals on a wide range of topics related to the topic. This includes, but is not limited to, best practices, case studies, libraries and frameworks, performance optimization, and interesting projects you have worked on, in your free time or at work.

The talks our audience enjoys the most are engaging, informative, and showcase the speaker’s expertise on the topic.

We encourage diversity in our speaker lineup and welcome proposals from people of all backgrounds and experience levels.

Please include a detailed outline of your presentation to help our review committee evaluate your talk.

We recommend reading Dave Cheney’s guide on how to write a successful conference proposal.

  • Presentations should be 20-25 minutes in length
  • There is no Q&A
  • All talks are in English and in person
  • All the talks are recorded and shared online
  • First time speakers and professional speakers are welcome
  • No product pitches

We are looking for a diverse set of topics in the area of GenAI listed below, and others:

  • Large Language Models e.g. operation, deployment, scaling, fine-tuning, chaining, agents, chatbots, other llm related engineering, workflow integration, etc.

  • Neural Network Security e.g. prompt injection, training data poisoning, malicious classifier embedding, etc.

  • Generative Image Models / Diffusion Models e.g. new approaches like ControlNet, LoRA, etc., fine-tuning, novel applications, or workflows

  • Generative Audio and Voice e.g. voice cloning/synth, music generation

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