Daniel Beaglehole @dbeagleholeCS
ML PhD @UCSanDiego. Deep learning from first principles (+ applications) dmbeaglehole.github.io Joined August 2021-
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Daniel Beaglehole retweeted
xRFM: Accurate, scalable, and interpretable feature learning models for tabular data ift.tt/P3pDd9f
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Daniel Beaglehole retweeted
Super excited to share that we have an Oral presentation for this paper next week at ICML! It will be on Tuesday at 10am (Oral 1E) in West Ballroom D, I'll be presenting 4th at 10:45am :) Our poster will be on Wednesday at 11am and I encourage you to stop by and chat!
Daniel Beaglehole retweeted
🚨 What if you could hijack any LLM's brain using external expert models? ExpertSteer does exactly that! 🧠⚡ Meet ExpertSteer: a breakthrough that lets you inject expert knowledge into any LLM, guiding its responses without updating model parameters.
Really cool! I have found the multi-index model (especially the sparse-coordinate type) to be a useful abstraction for some practical scenarios, e.g. tabular data as they consider here
Really cool! I have found the multi-index model (especially the sparse-coordinate type) to be a useful abstraction for some practical scenarios, e.g. tabular data as they consider here
Thank you to the Simons Institute for hosting me! It is always a pleasure! Stay tuned for an updated draft of our paper with diverse steering examples. I also mention adding feature learning to kernel machines on tabular data, which I am excited about! More to say soon...
Thank you to the Simons Institute for hosting me! It is always a pleasure! Stay tuned for an updated draft of our paper with diverse steering examples. I also mention adding feature learning to kernel machines on tabular data, which I am excited about! More to say soon...
Daniel Beaglehole retweeted
Can we tell when LLMs hallucinate or produce toxic/harmful content? Fascinating talk by @dbeagleholeCS at the Simons Institute about detecting semantic features learned by LLMs and using them to steer their output, & the link to recursive feature machines. youtube.com/watch?v=TlLu32…
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