A UMAP With Arrows Is Not a Benchmark. This Is
How I built a three-task evaluation framework for RNA velocity trajectory inference -- measuring global ordering, pairwise rank preservation, and robu…
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Engineering CellFateBench: A Reproducible Python Benchmark for Single-Cell Genomics Reasoning
CellFateBench is a scientific software and benchmark-engineering project for evaluating reasoning over single-cell genomics workflows. The project was…
LLM Wire Format Benchmark: Which Format Can AI Actually Read and Write?
Every LLM wire format claims token savings. Nobody proves whether AI models can actually comprehend the format at scale, or produce valid output in it…
Ideogram 4.0 is Good. Just Good.
A blind test across 240 images and 10 professional designers just dropped. Ideogram 4.0 against Gemini 3.1, Grok Imagine, and FLUX.2 Max. The results …
Я попробовал считать нейросетевой слой в конечном поле Галуа GF(137): 4x по памяти, ARM NEON и честные ограничения
Я проверил маленький нейросетевой слой в арифметике GF(137): не через квантизацию готовой float32-модели, а сразу в байтовом конечнополевом представле…
How fast is LlamaStash? Overhead, throughput, and a fair comparison with Ollama and LM Studio
Originally published at deepu.tech . In my release post for LlamaStash I made a claim I need to back up. The wrapper adds zero overhead vs running lla…
Benchmarking the Claude Agent SDK on a local LLM: Haiku and Sonnet tier performance
The Claude Agent SDK exposes three budget tiers ( haiku , sonnet , opus ) and reads its routing target from environment variables on every call. That …
I Benchmarked 17 ESLint Security Plugins. Only One Found Every Vulnerability.
Skip to: Full Results | Category Breakdown | The Leaderboard | Methodology TL;DR I built a benchmark suite with 40 vulnerable code patterns across 14 …
Multi-Shot vs Zero-Shot: When Adding Examples Actually Hurts Accuracy
Book: Prompt Engineering Pocket Guide: Techniques for Getting the Most from LLMs Also by me: Thinking in Go (2-book series) — Complete Guide to Go Pro…
LMR-BENCH: Can LLM Agents Reproduce NLP Research Code? (EMNLP 2025)
A research team from the University of Texas at Dallas published LMR-BENCH at EMNLP 2025, asking a specific question: can LLM agents reproduce the cor…
AI-generated accessibility, an update — frontier models still fail, but skills change the game
A few months ago I shared early results from the A11y LLM Eval project, a benchmark that measures how accessibly LLMs generate UI code. The previous p…
Benchmarks- Kubernetes MCP Servers Passed. That Was Not Enough.
Kubernetes MCP servers passed our live benchmark. That was not the interesting part. The interesting part was what happened on the way to the green ch…
How do you benchmark an MCP server you built?
I built a code-intelligence MCP server. Then I built a benchmark for code-intelligence MCP servers. Then my tool placed first on every scenario. I did…
Model Showdown Round 4: Opus vs Qwen — Writers, Not Coders
Two models. Same prompt. Same five fodder files. Same 27 published posts to check for redundancy. Same writing style guide. One chose the Dev.to syndi…
Model Showdown Round 3: Ditching Ollama in Favor of llama.cpp
In Round 1 , we ran five local models and two cloud models through a single coding task. The local models held their own. In Round 2 , we added Gemma …
Optimize benchmark in Next.js 15 vs Astro 4: What You Need to Know
Next.js 15 vs Astro 4: Benchmark Optimization Guide Choosing between Next.js 15 and Astro 4 for performance-critical projects requires a deep dive int…
Benchmark: Discord 20 Loads 30% Faster Than Microsoft Teams 5 on Chrome 130
Benchmark: Discord 20 Loads 30% Faster Than Microsoft Teams 5 on Chrome 130 By TechBench Team | October 2024 Executive Summary Independent performance…
Benchmark: JetBrains DataGrip 2026 vs. DBeaver 24.0: Query Execution Speed for PostgreSQL 17
DataGrip 2026 vs DBeaver 24.0: PostgreSQL 17 Query Execution Speed Benchmark Database administrators and developers often rely on GUI clients to inter…
Vector Search Benchmark: FAISS 1.9 vs. Chroma 0.6 vs. Pinecone 1.6 for 100M Embedding Datasets
At 100 million 768-dimensional embeddings, the gap between top-tier vector search tools isn't just measurable—it's existential. In our 6-month benchma…