https://www.chenyang.co/diffusion.html Diffusion models from scratch, from a new theoretical perspectiveChenyang Yuan2023 “This tutorial aims to introduce diffusion models from an optimization perspective…”
What I Read: SQL order
https://lukianovihor.medium.com/sql-order-of-query-execution-8c7cd926400 SQL — order of query executionIhor LukianovSep 24, 2023 “To maximize your query’s speed on any SQL engine, it’s essential to have an understanding of the SQL execution order.”
What I Read: Adversarial Attacks on LLMs
https://lilianweng.github.io/posts/2023-10-25-adv-attack-llm/ Adversarial Attacks on LLMsLilian WengOctober 25, 2023 “Adversarial attacks are inputs that trigger the model to output something undesired.”
What I Read: Differentiable Trees
https://ericmjl.github.io/blog/2023/8/7/journal-club-differentiable-search-of-evolutionary-trees/ Journal Club: Differentiable Search of Evolutionary TreesEric J. Ma2023-08-07 “…how the authors take a non-differentiable problem and turn it into a differentiable problem through interconversion between mathematical data structures.”
What I Read: Giant Steps Can Solve Optimization Faster
https://www.quantamagazine.org/risky-giant-steps-can-solve-optimization-problems-faster-20230811/ Risky Giant Steps Can Solve Optimization Problems FasterAllison ParshallAugust 11, 2023 “New results break with decades of conventional wisdom for the gradient descent algorithm.”