1676 articles tagged with Benchmark
📦 Fresh on the leaderboard: Aion 3.5 Mini (AionLabs)Context: 262.1k tokens · $0.7 in / $1.4 out per 1M · commercialAll the latest models, tracked hourly:https://olud.ai/latest.html...
AI agents often look impressive when they answer a clean question using one tidy data source....
I built a rule-based sugar detector and a fine-tuned model to compete against it, ran them against...
You've been there. You run the eval, the number comes back, and something about it doesn't sit...#ai #evaluation #llm #programming #software #coding #development #engineering #incl...
You've been there. You run the eval, the number comes back, and something about it doesn't sit...
A deterministic fail-closed benchmark testing evidence, approvals, tool truthfulness, secret handling, recovery, and stale-state detection across six AI models.
In this paper, we propose RGBD20K, a novel dataset for facilitating the development of more robust and general RGB-D semantic segmentation by encompassing abundant categories and h...
Everyone eventually wants to build their LLM eval set from real traffic. It's the right instinct —...
FinFIRST is a benchmark that evaluates financial search agents on answer quality and supporting evidence.Source: arXiv cs.CLhttps://arxiv.org/abs/2609.25192#MachineLearning
Je vous laisse libre de juger de la qualité de ce benchmark de LLM ... ⬇️https://www.assbench.com/#MachineLearning #AI📬 Ma veille dev, chaque vendredi par email → https://l.camille...
I built three Claude Code skills for AI product managers (ai-pm-skills). One of them, /eval-plan,...#ai #claude #productmanagement #testing #software #coding #development #engineer...
📊 Solar Pro 2 (Preview) (Non-reasoning) — the actual numbers GPQA: 54.4% MMLU-Pro: 72.5% Humanity's Last Exam: 3.7% LiveCodeBench: 38.5%Measured independently, not self-reported →h...
#Anthropic just dropped #Claude Opus 5.5, skipping a few released numbers ahead.And with good reason: improved benchmarks, reduced costs, increased speed—all the topics we wanted t...
Nouveau round du benchmark Agents on Rails, reasoning poussé à fond. GPT-6 Astra grimpe à 53%, GPT-5.6 Luna passe de 0 à 27% pour 29 dollars. Claude Fable 5.1 stagne à 32% en doubl...
GPT-6 Astra cut costs per task but raised real-world AI spend 60% as engineers used it more — plus new agent eval tooling, a $40M liability bet, and data on AI app quality.https://...
A step-by-step look at how an LLM benchmark produces comparable numbers, using the Satellite Geo QCM leaderboard as a concrete example of deterministic llm evaluation.#llm #evaluat...
The paper introduces PII-TRACE, a benchmark for context-aware personally identifiable information detection in multi-turn LLM conversations.Source: arXiv cs.CLhttps://arxiv.org/abs...
Glasshouse v0.1 is out. It's a long-term memory benchmark for AI systems, and it's what my last two...
The study introduces PsyAgentBench, a benchmark that re-runs classic psychology experiments on large language model agents with a factorial design that varies paradigm labeling, ta...
We run an eval suite on every PR. Seven fixtures, four metrics, deterministic, no API key, no...
Designing an eval harness for prompt-injection detection: what measuring my defenses...
Designing an eval harness for prompt-injection detection: what measuring my defenses...#ai #security #llm #python #software #coding #development #engineering #inclusive #communityD...
Grok 4.7 released (493 pts HN) — the open multimodal race heats up. What's interesting isn't the benchmark score but the speed of release cycles; agents need current model catalogs...