📊 Want to level up your AI/ML evaluations? Learn how Bootstrap Resampling can add confidence intervals to your metrics. Perfect for tasks like classification & LLM-based scoring! 📖 Read more: leehanchung.github.io/blogs/2024/1...

open source.

open source open source.

🧠 New blog post: Reasoning with Compound AI Systems and Post-Training Dive into making LLMs reason better through: - verification - majority voting - reasoning tools - search - post-training for reasoning🤔 leehanchung.github.io/blogs/2024/1...

ml anon!!

hmm what’s the best way to bookmark on this site, or to have different groups to follow, e.g., tweetdeck

ACL is not an RL conference.

you don’t have a service mesh. you have a clock mesh.

Even as an interpretable ML researcher, I wasn't sure what to make of Mechanistic Interpretability, which seemed to come out of nowhere not too long ago. But then I found the paper "Mechanistic?" by @nsaphra.bsky.social and @sarah-nlp.bsky.social, which clarified things.

From double descent to grokking, deep learning sometimes works in unpredictable ways.. or does it? For NeurIPS(my final PhD paper!), @alanjeffares.bsky.social & I explored if&how smart linearisation can help us better understand&predict numerous odd deep learning phenomena — and learned a lot..🧵1/n

is this the second coming of butterfly?

Is it really dying

Bird app dying

Dr ChatGPT

Network discovery here is kinda slow. :(