60 stories tagged with #optimization, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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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.…
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.…
Direct Preference Optimization Beyond Chatbots
A Blog post by Dharma-AI on Hugging Face…
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...…
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…
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, …
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…
The gold standard of optimization: A look under the hood of RollerCoaster Tycoon
AI Placement Decisions Are Architecture, Not Optimization
AI placement latency is not the problem most teams think they are managing. The default framing...…
Finding a needle in a 4 GB haystack: from 0.75 GB/s to 49 GB/s in Go
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.…
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....…
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.…
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...…
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.…
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...…
How to optimize checkout infrastructure to maximize conversion rates
Supercharging e-commerce checkout performance: infrastructure wins that boost...…
Cloud optimization tools still feel incomplete around storage
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…
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...…
Storage Optimization Help
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.…
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...…
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.…
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....…
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...…
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…
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…
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…
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…
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…
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…
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…
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…
SkillOpt treats markdown skill files as trainable parameters with proper optimization machinery
What’s the simplest strategy for AI search optimization in 2026?
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...…
¿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...…
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…
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…
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…
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…
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…
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…
How are people doing prompt optimization with datasets safely?
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.…
Optimization and large quantities of data
You can build a Steam Machine right now, but Valve's optimization is the part worth waiting for
Valve is doing it all.…
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.…
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...…
Cross-model prompt consistency feels harder than prompt optimization
Nix's Substituter List Is Not a Routing Table
Optimizing Nix's Binary Cache Model…
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.…
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.…
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…
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.…
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…
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…
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…
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…