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TAG · #OPTIMIZATION

Optimization coverage.

Every story in the WeSearch catalog tagged with #optimization, chronological, with view counts. Subscribe to the per-tag RSS feed to follow this topic in your reader of choice.

60 stories tagged with #optimization, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.

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RELATED TAGS
#ai70#ml31#technology13#performance-optimization12#performance11#programming11#cost-optimization10#web-development7#software-development6#seo5#openai5#gpu5
SMOOTH CDN

Optimize Images, CSS, JavaScript and PDFs and Get Temporary CDN URLs

Upload frontend assets and test automatic optimization for images, PDFs, JavaScript and CSS. Compare optimized variants and see how Smooth CDN fits into a web asset pipeline.…

15 views ·
#cdn#web development
TOWARDS DATA SCIENCE

I Built a C++ Backend So My GPU Would Stop Eating Air

A comprehensive guide to optimizing LLM inference by eliminating padding overhead with hardware-aware sequence packing.…

19 views ·
#machine learning#gpu#c++
HUGGING FACE BLOG

Direct Preference Optimization Beyond Chatbots

A Blog post by Dharma-AI on Hugging Face…

17 views ·
#technology#artificial intelligence#machine learning
DEV.TO (TOP)

Tokenmaxxing Is a 2026 Anti-Pattern: Why Your Team's Token Bill Is Up 10x and What

Tokenmaxxing Is a 2026 Anti-Pattern: Why Your Team's Token Bill Is Up 10x and What to Cut...…

11 views ·
#ai#cost#technology
ARXIV.ORG

GPU Forecasters: Language Models as Selective Surrogates for Kernel Optimization

GPU kernels are the workhorse of modern deep learning, and optimizing them (via evolutionary search or coding agents) usually requires repeated measurement on target hardware. Whil…

20 views ·
#machine learning#artificial intelligence#gpu optimization
ARXIV CS.AI

Don't Gamble, GAMBLe: An Analytical Framework for AI-Driven Research Systems

AI-Driven Research Systems (ADRS) -- systems coupling LLMs with automated evaluation to discover algorithms, proofs, and designs -- are being optimized and adopted across domains, …

18 views ·
#artificial intelligence#research
ARXIV CS.AI

Cross-Lingual Token Arbitrage: Optimizing Code Agent Context Windows via Local LLM Preprocessing

AI-assisted coding agents are bottlenecked by input-token cost. Two pathologies of raw human input drive much of this overhead: tokenization inefficiency for non-English text and s…

20 views ·
#artificial intelligence#coding
R/PROGRAMMING

The gold standard of optimization: A look under the hood of RollerCoaster Tycoon

20 views ·
DEV.TO (TOP)

AI Placement Decisions Are Architecture, Not Optimization

AI placement latency is not the problem most teams think they are managing. The default framing...…

14 views ·
#ai#machinelearning#infrastructure
SEGFLOW

Finding a needle in a 4 GB haystack: from 0.75 GB/s to 49 GB/s in Go

11 views ·
#programming#performance#go
SEEKING ALPHA

Shell: Portfolio Optimization And LNG Strength Balanced By Rising Risks (Downgrade)

Shell's Q1 results were solid, maintaining a solid balance sheet, boosting the dividend while cutting the buybacks. See why SHEL stock is downgraded to hold.…

15 views ·
#energy#stocks#dividends
DEV.TO (TOP)

Refactoring and Optimization Workflows: Turning Messy Code into Clean, Fast Systems

Introduction You have working code that you dread touching. Variable names make no sense....…

19 views ·
#softwareengineering#refactoring
GOOGLE NEWS

OpenAI's ChatGPT ads are getting conversion optimization - here's what changes - PPC Land

Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…

18 views ·
DEV.TO (TOP)

What Is the Difference Between Cloud Cost Optimization and Cloud Cost Management?

Cloud cost management and cloud cost optimization are often used interchangeably but they solve...…

14 views ·
#cloud#finops#devops
TOM'S HARDWARE

New Silicon Motion SM2524XT chip brings 14 GB/s to mainstream SSDs — 6nm DRAMless controller boasts heavy AI PC optimization and slashes KV cache latency

Fast, furious, inexpensive.…

13 views ·
#technology#ssd#ai
DEV.TO (TOP)

Best AI Tools for Conversion Rate Optimization in 2026: Stop Running A/B Tests, Start Building a Conversion System

The best AI tools for conversion rate optimization (CRO) in 2026 are the platforms that continuously...…

13 views ·
#ai#marketing#conversion
DEV.TO (TOP)

How to optimize checkout infrastructure to maximize conversion rates

Supercharging e-commerce checkout performance: infrastructure wins that boost...…

13 views ·
#ecommerce#checkout
R/AWS

Cloud optimization tools still feel incomplete around storage

19 views ·
ARXIV.ORG

Computational Mean-Field Games on Manifolds

Conventional Mean-field games/control study the behavior of a large number of rational agents moving in the Euclidean spaces. In this work, we explore the mean-field games on Riema…

23 views ·
#mathematics#control
DEV.TO (TOP)

GEO for e-commerce: how I optimized a product page to appear in ChatGPT, Gemini and Perplexity answers

A step-by-step case study with before/after measurements Reading time: 20 minLast updated: February...…

19 views ·
#ecommerce#seo#ai
R/MACOS

Storage Optimization Help

12 views ·
GOOGLE NEWS

From Hit Identification to Lead Optimization: Building Scientific Continuity in Early Drug Discovery - Morningstar

Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…

22 views ·
DEV.TO (TOP)

How to Cut Your CSS File Size by 40% Without Losing Any Styles

Most websites ship CSS that's 2-3x larger than necessary. After auditing over 50 production sites, I...…

12 views ·
#css#performance#webdev
DEV.TO (TOP)

Magento 2 Nginx Optimization for High Traffic — Complete Server Tuning Guide

Tune Nginx for Magento 2 to handle high traffic without breaking a sweat. Worker processes, gzip, keepalive, microcaching, SSL/TLS, and more — all with real config examples.…

20 views ·
#magento#nginx#performance
DEV.TO (TOP)

Structured Prompts Cut Token Waste 35-40%. Here's Where It Actually Matters.

One structured prompt format. Two identical reasoning tasks. Same model. Unstructured: 1,240 tokens....…

18 views ·
#ai#programming
DEV.TO (TOP)

Next.js 16 RAG Pipeline Optimization: Give Your AI a Perfect Memory

RAG (Retrieval-Augmented Generation) is the foundation of knowledge-grounded AI. But most RAG...…

16 views ·
#nextjs#ai#machinelearning
ARXIV CS.AI

UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems

LLM-based multi-agent systems decompose complex tasks into interacting roles, but most remain manually orchestrated by prompts, tools, and control rules, while agents are rarely op…

22 views ·
#artificial intelligence#reinforcement learning#multi-agent systems
ARXIV CS.AI

Developing a Totally Unimodular Linear Program for Optimal Conformance Checking: When and Why It Complements A*

Alignment-based conformance checking is the state-of-the-art approach for comparing observed process executions with normative process models. The standard exact solution relies on…

16 views ·
#artificial intelligence#linear programming
ARXIV CS.AI

Generating Robust Portfolios of Optimization Models using Large Language Models

Mathematical optimization is a powerful tool for structured decision-making across domains such as resource allocation and planning. Formulating optimization models faithful to rea…

17 views ·
#artificial intelligence#language models
ARXIV CS.AI

Natural Language Query to Configuration for Retrieval Agents

Modern retrieval agents expose many configuration choices -- LLM, retriever, number of documents, number of hops, and synthesis strategy -- each shaping both answer quality and ser…

15 views ·
#artificial intelligence#retrieval agents
ARXIV CS.AI

Xe-Forge: Multi-Stage LLM-Powered Kernel Optimization for Intel GPU

Porting deep learning algorithms to new hardware accelerators requires developers to repeatedly apply the same low-level optimizations -- quantization, memory access coalescing, ti…

12 views ·
#artificial intelligence#gpu
GITHUB

Show HN: MPEE – Offline route calculations and optimization

Offline routing, multi-vehicle VRP & street geocoding for one downloaded area — Rust engine, driven from Python or a CLI - punnerud/mpee…

19 views ·
#technology#routing#software
HACKER NEWS (NEWEST)

How to Build a Fast Website (Front End)

Through a series of 6 articles, we set out on a grand quest to build the fastest memecoin website on the planet. Come follow along and learn how you too can join us in page-speed p…

19 views ·
#web development#technology
POSTGR

Andrei Lepikhov: EXPLAIN Prettier, or Post-Processing Query Plans in Postgres

EXPLAIN output carries more noise than most analyses need. EXPLAIN Prettier is an open-source PL/pgSQL script that strips it systematically, with stable output across Postgres vers…

17 views ·
#postgresql#database#query optimization
R/LOCALLLAMA

SkillOpt treats markdown skill files as trainable parameters with proper optimization machinery

15 views ·
R/ENTREPRENEUR

What’s the simplest strategy for AI search optimization in 2026?

24 views ·
DEV.TO (TOP)

Bajándole todos los minutos posibles al CI del backend con mas de 1000 tests

Esta es la historia de muchas horas de trabajo en un hoyo continuo tratando de elegir optimizaciones...…

29 views ·
#ci#python#githubactions
DEV.TO (TOP)

¿Cómo optimizar algoritmos en arreglos y listas con la técnica de dos punteros?

La optimización de algoritmos mediante el recorrido de colecciones es una de las habilidades más...…

15 views ·
#algorithms#programming
GITHUB

Show HN: Auto GPU Kernel – Autonomous GPU-kernel discovery and optimizer

Winner 🏆 (Agent-only) MLSys 2026 - FlashInfer AI Kernel Generation Contest for the DeepSeek Sparse Attention (DSA) track with an average speedup of 34.93x - Dogacel/auto-gpu-kerne…

26 views ·
#gpu#technology
ARXIV CS.AI

Toward Reliable Design of LLM-Enabled Agentic Workflows: Optimizing Latency-Reliability-Cost Tradeoffs

Modern AI systems increasingly rely on workflows composed of multiple interacting agents, some powered by large language models (LLMs) and others by conventional computational modu…

20 views ·
#artificial intelligence#machine learning#workflow optimization
ARXIV CS.AI

BoxLitE: A Faithful Knowledge Base Embedding Based on Convex Optimization

Knowledge base (KB) embeddings aim at combining the capability of classical knowledge graph embeddings to generalize the information present in facts, the ABox, with conceptual kno…

21 views ·
#artificial intelligence#machine learning
ARXIV CS.AI

FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization

Large language models (LLMs) are increasingly used for optimization modeling and solver-code generation, yet practical operations research and optimization problems often require a…

18 views ·
#artificial intelligence#benchmarking
ARXIV CS.AI

What Gets Cited: Competitive GEO in AI Answer Engines

AI answer engines generate answers from retrieved pages but cite only a few sources. This makes visibility depend not just on ranking, but on being cited. We study competitive Gene…

17 views ·
#artificial intelligence#research#citation
ARXIV.ORG

MileStone: A Multi-Objective Compiler Phase Ordering Framework

Compiler phase ordering has a strong effect on program performance. Finding an effective sequence of passes is still a difficult task because the search space is large and executio…

19 views ·
#programming#compiler
R/PROMPTENGINEERING

How are people doing prompt optimization with datasets safely?

19 views ·
DEV.TO (TOP)

A practitioner's guide to getting more value out of AI coding: agent quality & token optimization

A practitioner's guide to getting more value out of AI coding agents — drawn from a GitHub workshop on agent quality and token cost optimization.…

11 views ·
#ai#github#productivity
R/LEARNPROGRAMMING

Optimization and large quantities of data

15 views ·
XDA DEVELOPERS

You can build a Steam Machine right now, but Valve's optimization is the part worth waiting for

Valve is doing it all.…

17 views ·
#gaming#technology#hardware
GITHUB

My LLM optimization loop reward-hacked its own benchmark (and other lessons) [pdf]

Contribute to CodeReclaimers/bishop-loop-experiment-3 development by creating an account on GitHub.…

17 views ·
#artificial intelligence#machine learning#evaluation
DEV.TO (TOP)

How to Build a High-Performance Image Optimization Pipeline in 5 Minutes

Images make up over 60% of average web page weight. If you're serving unoptimized, raw JPEGs or PNGs...…

16 views ·
#technology#web development#image optimization
R/PROMPTENGINEERING

Cross-model prompt consistency feels harder than prompt optimization

15 views ·
NOTASHELF

Nix's Substituter List Is Not a Routing Table

Optimizing Nix's Binary Cache Model…

12 views ·
#nix#software#programming
PHORONIX

Redis 8.8 Released With New Array Data Structure, More Performance Optimizations

Redis 8.8 reached GA today for the Redis open-source project providing a high performance, in-memory data store.…

22 views ·
#redis#programming#performance
FARID ZAKARIA’S BLOG

Leaving Performance on the Table

I have been working with LLVM at $DAYJOB$, and I have gotten to become familiar with the benefits of optimizing your workloads.…

18 views ·
#programming#llvm
TECHMEME

A look at DeepSeek's model optimization to reduce HBM use, potentially enabling domestic memory, ASIC, and CPU makers to create a Chinese AI hardware ecosystem (@bookwormengr)

@bookwormengr : A look at DeepSeek's model optimization to reduce HBM use, potentially enabling domestic memory, ASIC, and CPU makers to create a Chinese AI hardware ecosystem — Ha…

21 views ·
ARXIV CS.AI

ImProver 2: Iteratively Self-Improving LMs for Neurosymbolic Proof Optimization

Formal mathematics libraries are rapidly expanding, creating a growing need to refactor verified proofs for maintainability and to improve training data quality for neural provers.…

15 views ·
#artificial intelligence#machine learning#neurosymbolic
ARXIV CS.AI

CP or DP? Why Not Both: A Case Study in the Partial Shop Scheduling Problem

Dynamic Programming (DP) and Constraint Programming (CP) are well-established paradigms for solving combinatorial optimization problems. Usually, these two approaches are used sepa…

14 views ·
#artificial intelligence#scheduling
ARXIV CS.AI

SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Agent skills today are hand-crafted, generated one-shot, or evolved through loosely controlled self-revision, none of which behaves like a deep-learning optimizer for the skill, an…

12 views ·
#artificial intelligence#machine learning
ARXIV CS.AI

MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models

We explore the application of LLM-driven algorithm optimization to several common tasks in quantitative finance. MadEvolve, a general-purpose algorithm optimization framework inspi…

15 views ·
#finance#trading#artificial intelligence
ARXIV CS.AI

DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networks

Virtual Reality (VR) services delivered over 6G networks demand ultra-low latency and high bandwidth to ensure seamless user experiences. This paper presents an intelligent resourc…

12 views ·
#networking#artificial intelligence#6g