I picked a coding agent off a leaderboard. It flopped on our codebase.
Last year my team had to pick a coding agent, and I volunteered to run the evaluation. I felt good...
674 articles tagged with Benchmark
Last year my team had to pick a coding agent, and I volunteered to run the evaluation. I felt good...
One weekend I wrote an LLM eval framework in about two hundred lines of Python. It demoed...
TL;DR. You run version A and version B against the same 500-item eval set. A passes 71.4 percent, B...
TL;DR. Most "top open-source LLM eval framework" roundups rank features. None of them ask the one...
Same query. Same documents. Same model. And the RAG eval can still hand back a different...
📊 Mi:dm K 2.5 Pro — the actual numbers GPQA: 70.1% MMLU-Pro: 80.9% Humanity's Last Exam: 7.7% Long Context Reasoning: 9%Measured independently, not self-reported →https://opensourc...
The Leaderboard Is Dead. Here's What I Actually Reach For. Let It Break — part 2 Tags: #ai...
Show HN: Benchmark your eng team's AI agent maturity in 5 minuteshttps://agent-benchmarks.com/software-factory/#ai
I Tested 300+ Models. Then I Killed the Benchmark. Let It Break — part 1 Tags: #ai #llm...
Best AI agents fail 50% of visual tool tasks, Apple benchmark showsA new open benchmark with 500+ tools reveals even frontier AI models can't reliably read an image and act on it, ...
AI music transcription scores 38% on new pop benchmarkA new 572-segment pop music benchmark shows the best AI transcription models still miss most notes in real recordings, affecti...
MedRealMM benchmark: AI matches doctors but fails on safetyNew 5,620-case benchmark finds frontier AI matches physicians on positive clinical steps but triggers more unsafe respons...
I've been running a small agentic eval harness against a local model and I'd like a sanity check on...
A paired workload protocol for validating latency, cost, correctness, and recovery before changing production models.
Clinical RAG can pass grounding checks while citing evidence about the wrong entity.
もうClaudeのモデル選びで迷わない — Anthropicが教える独自Eval(評価テスト)と「成功1件あたりのコスト」の測り方https://qiita.com/nogataka/items/6cd8c6ea583221e45def?utm_campaign=popular_items&utm_medium=feed&utm_source=popula...
LLM agents fail 70% of skill safety tests in SLBench studyA new 86-case benchmark finds Codex and Claude Code agents violate logical constraints in skill files up to 70% of the tim...
Large language models (LLMs) have achieved remarkable performance on high-school and olympiad-style mathematics, yet their capabilities on advanced mathematics remain poorly unders...
How we measured a markdown knowledge graph as agent memory — lost to grep, rebuilt our search and...
📊 Apriel-v1.6-15B-Thinker — the actual numbers GPQA: 73.3% MMLU-Pro: 79% Humanity's Last Exam: 9.8% Long Context Reasoning: 50.3%Measured independently, not self-reported →https://...
Record model identity, device state, power, latency distribution, and thermal behavior before turning one local-inference run into a product conclusion.
This particular rabbit hole was created due to a previous conversation I had here with another member...
GPT-5.5 leads EvoPolicyGym: top-two across all 16 environmentsEvoPolicyGym, a new arXiv benchmark, tests whether AI agents can autonomously rewrite executable policies under a fixe...