Annual NeurIPS Recap

Continuing with a tradition we have established over the last few years we are doing our annual recap of what was new and interesting at NeurIPS in December 2023.

"Eye-catching Research from NeurIPS" - Martin Andrews

2023 was a huge year for LLMs - with many of us watching dramatic research releases in real time. But that meant that NeurIPS conference papers (submitted in May) were already looking like old news by December! However, there were still many new things at the workshops (and tutorials), and Martin will discuss some of the highlights that he found.

"How I Won GovTech's Prompt Engineering Competition" - Sheila Teo

Sheila will present about some of the strategies for harnessing the power of Large Language Models that she applied during Singapore GovTech's recent Prompt Engineering Competition.

"Chasing LLM Magic at NeurIPS and Since" - Sam Witteveen

In this talk Sam will go into some of the papers, workshops and panel discussions at NeurIPS (and a couple of developments since), related to what is giving certain LLMs an edge.

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Talks will start at 7:00 pm and end at around 8:50pm, at which point people normally come up to the front for a bit of a chat with each other, and the speakers.

As always, we're actively looking for more speakers - both '30 minutes long-form', and lightning talks. For the lightning talks, we welcome folks to come and talk about something cool they've done with keras_core, TensorFlow, PyTorch, JAX and/or Deep Learning for 5-10mins (so, if you have slides, then #max=10). We believe that the key ingredient for the success of a Lightning Talk is simply the cool/interesting factor. It doesn't matter whether you're an expert or an enthusiastic beginner: Given the responses we have had to previous talks, we're sure there are lots of people who would be interested to hear what you've been playing with. If you're interested in talking, please just introduce yourself to Martin or Sam at one of the events.