#optimizationproblem resultados da pesquisa
New Blog Post! Covers a lot of stuff I find interesting about optimisers and how they affect model training both in terms of resources and quality of the model. Link Below, please do check it out and RT/QT for the reach:)
🇺🇸 ELON: STOP TRYING TO OPTIMIZE SOMETHING THAT SHOULDN’T EXIST “Everyone’s been trained in high school and college that you answer the question — convergent logic. You can’t tell the professor 'your question is dumb' or you’ll get a bad grade, you have to answer the question.…
🚨 Workflows are broken. Teams waste hours every week fighting bottlenecks, miscommunication, and outdated tools. We fixed that. Meet OrgFlow — an AI-powered workflow optimizer built on @rocketdotnew. It finds inefficiency before it costs you time. 👇
New blog post! This one is a purely theoretical one attempting identifying the central reason why LLMs suffer from mode collapse in RL and fail to generate novel or truly diverse outputs. It's actually a way more complicated problem than you think! Naively encouraging…
Anthropomorphic stuff aside there really is just no good reason to optimize for this sort of behavior @GoogleDeepMind
OOM error is a pain in the GPU. here this is a fresh article on the visualization of GPU memory and how to predict the required memory of a model
Ahh I see the problem is that there are too many if statements. Here's a solution implementing binary search in O(log n)
Just implemented an obvious optimization that I've been meaning to implement for years. It made our code 40% slower.
New paper! Over-optimization in RL is well-known, but it even occurs when KL(policy || base model) is constrained fairly tightly. Why? And can we fix it? 🧵
Ayer subí una imagen y noté que el rendimiento de mi web WordPress empeoró. Esto me recordó que mantener una web optimizada requiere un cuidado constante.
🤔Allocations in your C program too expensive? 💡Optimize them with this one simple trick!💅
Optimize for work you want to do, with people you care about, on problems that actually impact people's lives, even if that impact is small. If you don't, you'll end up with the opposite by default.
This prompt reveals what you're actually optimizing for (hint: it's probably not what you think)
the problem: global compute is centralized the fix: cysic the solution is one word dawg, don't complicate things
Really great article for optimization really great article on optimization for software developers -multi-variable optimization is an incredibly useful tool for writing software -maths with cs stuffs
I have seen this many times in my career. When optimizing, spend 90% of your time tuning the top 10% of anything in terms of volume. Spend the remaining 10% on the other 90%. This is true for database queries, program methods and algorithms.
Developer kept complaining our RDS instance was too slow. Wanted to upgrade from db.t3.large to db.r5.8xlarge. Cost increase: $140/month to $3,400/month. I checked query performance first: - Query ran 47,000 times per hour - No indexes on the WHERE clause columns - Missing…
Js people: Ok your language is actually fast Python people: Come defend your language Go people: Needs more optimizations C people: Don't worry. If you enable the optimizer, this thing goes BRRRRRRRRRRRR.
🧵 Optimizar antes de medir es la forma más común de romper un sistema estable. Veamos por qué la optimización prematura destruye más software del que mejora 👇
#MultiObjectiveInventoryTransportation #OptimizationProblem #Python I wrote an article titled 'Solving a Multi-Objective Inventory-Transportation Optimization Problem with Python'. ailogsite.netlify.app/2025/05/19/202…
【最適化問題】から、凸関数について(その2) #最適化問題:#OptimizationProblem #数理計画法:#MathematicalProgramming #Convex #ヘッセ行列:#HessianMatrix
【最適化問題】から、凸最適化問題(凸計画問題)について(その3) #最適化問題:#OptimizationProblem #数理計画法:#MathematicalProgramming #鞍点:#SaddlePoint
Day 057 #100DaysOfCode ・Evaluation function & Optimization problem - 評価関数と最適化問題 計2.5h 累計86.0h #Python #optimizationproblem #evaluationfunction
New Open Access paper bit.ly/2YfJboS published for @IIT_Comillas: "Multi-objective bi-level optimization model for the investment in gas infrastructures" Keywords: #Naturalgasmarket #MultiObjetive bi-level #optimizationproblem #Infrastructureinvestment #IIT #UCOMILLAS
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