PhD Candidate @ UCL
🇵🇸
If you're a student, researcher, or industry professional passionate about AI, this is your chance to learn from top experts and connect with an amazing community.
Help spread the word! 🌍 Scholarships available—see below.
Learn from top AI researchers and connect with peers in Sarajevo 🇧🇦, a historical crossroads of East and West. Needs-based scholarships are available.
Deadline: 31 March 2025.
If you're a student, researcher, or industry professional passionate about AI, this is your chance to learn from top experts and connect with an amazing community.
Help spread the word! 🌍 Scholarships available—see below.
SmolVLM (256M & 500M) runs on <1GB GPU memory.
Fine-tune it on your laptop and run it on your toaster. 🚀
Even the 256M model outperforms our Idefics 80B (Aug '23).
How small can we go? 👀
(E.g., where does that “log” come from? Are there other possible formulas?)
Yet there's an intuitive & almost inevitable way to arrive at this expression.
You might know about the whole leasehold/freehold stuff, but I just learned about chancel repair liability where you could be responsible for fixing a nearby church based on some medieval arrangements that are costly to trace.
So people just get insurance instead.
You might know about the whole leasehold/freehold stuff, but I just learned about chancel repair liability where you could be responsible for fixing a nearby church based on some medieval arrangements that are costly to trace.
So people just get insurance instead.
Hope to see more stuff like this on here!
🚀 More sample efficient than constrained/naive BO!
🚀 More compute efficient than data augmentation!
🧵 1/4
#NeurIPS2024 #BayesianOptimisation #ai
Hope to see more stuff like this on here!