First up a hackathon: 20+ researchers · two weeks · @OxfordStats × @NUSComputing × @NTUsg and tokens on tap by @AnthropicAI .
Outcome: Five open‑source AI agents solving common workflow frustrations across the whole research lifecycle. 🧵
🎉Excited to share our new work: "StochasTok: Improving Fine-Grained Subword Understanding in LLMs"!🎉
We rethink tokenization and allow LLMs to ‘see inside’ individual tokens by stochastically splitting them into equivalent pairs. See👇!
Thanks to my incredible co-authors!🥰
🚨My awesome labmate Yiran
@yiran_zhao924
is presenting our #ACL2024NLP poster: “Prompt Optimization via Adversarial In-context Learning”.
🚀 Want to chat about optimising LLM hard prompts by Adv. Learning?
🌟Please check out his presentation on Tue. 5-6pm, Poster Sec. 5!
Very excited about hosting many distinguished researchers for our upcoming @NUSComputing CS Research Week, Jan 10-12, 2024.
https://t.co/QxQe1MWaTC
The event is public and needs no formal registration.
The rise of LLMs has been the main push for the adoption of vector databases. Turning text (or even multimodal) data into an embedding vector can significantly improve performance of any AI application. However, it is quite possible that we can get even better performance if we first build that basis workhorse of the Internet era - a search engine.
Read more in the following blog post:
“Build a search engine, not a vector DB”
https://t.co/LNCIRs10Dd
📢 My book on Fairness and ML with @s010n and Moritz Hardt has been published by @mitpress! https://t.co/QZSOLwAW6E
The draft (https://t.co/eswKksmbGb) has already been used in many courses. We've also released a set of exercises and discussion prompts: https://t.co/ZDkwR9Hdko
We have been working on fairness problems in federated learning. We showed that FL may propagate bias from the most biased parties to the less biased parties. Check our paper here https://t.co/CxHGm0B9gg and a blog post here https://t.co/b0Z8iD7b3h.
bridgit mendler is THE ONLY person who can rival that korean american Navy Seal Doctor Astronaut guy, and it's not close
she's only 30 so she has time...
Harvard JD
MIT PhD and Masters
USC BA
Space Tech Startup
Disney Channel Lead Star
@bridgitmendler
I'm happy to announce the start of a new free and open online course on neuroscience for people with a machine learning or similar background, co-developed by @MarcusGhosh. YouTube Videos and Jupyter-based exercises will be released weekly. There is a Discord for discussions.
@brickroad7 Hey! I'm so glad you found this exciting -- I've been really excited about how it might help and delighted to be able to share it.
With that said, I do want to caution that a lot of work remains to be done.
https://t.co/t4dv27BW18
It's a myth that VCs need you to have a technical co-founder
You just need an answer to "How are you going to build your product?"
“We'll prototype with no-code tools then hire an engineer” is 100% OK.
VCs want to see you can build a team, not write code
New paper! We ask: How important is VQ for neural discrete representation learning? 🤔
I always felt it should be possible to “absorb” the VQ on top of a deep net into the net and use a simple grid-based quantization instead, without sacrificing much expressivity.
Summary 🧵👇