He/him/his.
Massachusetts, USA
Joined November 2008
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Checking LLM thought text to see if it says “user made a really funny joke” or “user is annoying AF”
Bert Huang 🐥 retweeted
🚀Today we're excited to announce Snorkel Custom, a hands-on accelerator for enterprises using LLMs to build AI applications. It pairs Snorkel Flow, an AI data development platform, with Snorkel AI researchers and ML practitioners.
🔥Learn more: snkl.ai/custom
Was having a chat with a friend and this came up. What’s the real reason the major voice assistants aren’t hooked up to LLMs yet? My guess is liability and safety, but maybe computational cost?
Professional update: Earlier this month, I joined @SnorkelAI as a senior applied machine learning engineer. Snorkel is a company built on technology closely related to the topics I was researching. It’s a great fit for me, and I’m looking forward to seeing what we'll do together!
Sooo... what is a good place I can find work as someone who knows how to artificial intelligence?
Orgs that treat employees like humans plz. Also treat people like humans if possible.
Dear friends,
I’ve spent the past year on leave from work for personal health reasons. Now, with a lot of other life changes, I’ve finalized the decision to leave Tufts this summer.
The energy use for training large pretrained models is worth the investment of environmental costs because they can be reused everywhere
is what I would say if there wasn’t a new giant model out every two weeks and also if we ever make one that’s not racist.
The universal challenge in machine learning research is to create a table of numbers where a new number is bold and slightly higher than the other numbers.
It's my birthday, and a great present would be if you checked out my new album from my hobby music project, Star Bear.
It's my birthday, and a great present would be if you checked out my new album!
distrokid.com/hyperfollow/st…
Available wherever you stream music and downloadable for free from bandcamp.
A 2022 version of The Friendship Paradox is that everyone I know who is excited to finally go to an in-person conference comes back with COVID.
Stay safe, friends!
Bert Huang 🐥 retweeted
👀 Sneak a peek at the deepest & sharpest infrared image of the early universe ever taken — all in a day’s work for the Webb telescope. (Literally, capturing it took less than a day!) This is Webb’s first image released as we begin to #UnfoldTheUniverse: nasa.gov/webbfirstimages/
ALT The background of space is black. Thousands of galaxies appear all across the view. Their shapes and colors vary. Some are various shades of orange, others are white. Most stars appear blue, and are sometimes as large as more distant galaxies that appear next to them. A very bright star is just above and left of center. It has eight bright blue, long diffraction spikes. Between 4 o’clock and 6 o’clock in its spikes are several very bright galaxies. A group of three are in the middle, and two are closer to 4 o’clock. These galaxies are part of the galaxy cluster SMACS 0723, and they are warping the appearances of galaxies seen around them. Long orange arcs appear at left and right toward the center.