Sublime

I always hated that when I studied Physics, I had no intuition of what order I could study topics in, except linear. The latest LLM use-case I love is feeding the Table of Contents of a textbook and asking it to create the dependency graph of topics! Here are some: Physics ___L... See more

"Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-38B" From 25.47% to 45.49% in GSM-Hard 🤯 Also noting in this regard, the head of Deepmind said last year that augmenting LLMs with Monte Carlo Tree Search may be the fastest path to AGI___LINE... See more

Math Roadmap: https://t.co/39dx3gEE6S

Physics resources (UG & Grad) Part II - •https://t.co/E4IoioNhRh •https://t.co/0ID7pCIV4c •https://t.co/rBmrZGp7gn • https://t.co/4EgVCHxDFl • https://t.co/4bcaPrGC85 ... See more

Statistics 110: Probability - Harvard Inarguably, one of the classic probability courses on the web!! https://t.co/MgsMTxy9BT... See more

Statistics 110: Probability - Harvard Inarguably, one of the classic/world's best probability courses on the web!! https://t.co/MgsMTxgyKl... See more

man, scientists working on optimizing matrix multiplications have oppenheimer level of aura - use a RL agent to spit out heckload of bilinear products - slap two MILP to combine and filter those - iterate on top of a Large Neighborhood Search flow until it’s fast fast ___LINEBRE... See more