Why eval startups fail (2025)
Why eval startups fail (2025)
#Benchmark
930 articles tagged with Benchmark
RELEASE!!! Red Team AI Benchmark v2.0: From 12 Questions to 60 — A Technical Deep Dive - A major evolution in LLM offens...
RELEASE!!! Red Team AI Benchmark v2.0: From 12 Questions to 60 — A Technical Deep Dive - A major evolution in LLM offensive-security evaluation, built in collaboration with POXEK A...
Red Team AI Benchmark v2.0: From 12 Questions to 60 — A Technical Deep Dive
A major evolution in LLM offensive-security evaluation, built in collaboration with POXEK...
HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions
With the rapid spread of retrieval-augmented generation and semantic search, choosing the right embedding and retrieval configuration is increasingly hard. Large retrieval benchmar...
📢 Benchmark CTI : Fable 5 d'Anthropic jugé contre-productif pour les défenseurs cyber📝 ## 🔍 ContextePublié le 17 juin 20...
📢 Benchmark CTI : Fable 5 d'Anthropic jugé contre-productif pour les défenseurs cyber📝 ## 🔍 ContextePublié le 17 juin 2026 par Graphistry sur leur blog officiel, cet article consti...
Agent = Model x Harness: Your Eval Layer Is Part of the Agent, Not a Tool Beside It
There's a formula I keep coming back to when people ask why their slick demo agent falls apart in...
briliwar0/glm-5.2-free-desktop-app: glm 5.2 free z.ai llm chatbot free api access local llm unsloth dynamic gguf llama.cpp ollama run coding assistant autonomous agent zcode opencode cloudflare workers ai hugging face model weights 1m context window long horizon tasks token bypass benchmark swe bench pro terminal bench setup installation windows macos linux
glm 5.2 free z.ai llm chatbot free api access local llm unsloth dynamic gguf llama.cpp ollama run coding assistant autonomous agent zcode opencode cloudflare workers ai hugging fac...
Gemini 3.5 Flash delude sul benchmark Android: superato da modelli precedenti e con costi più alti del previsto Google h...
Gemini 3.5 Flash delude sul benchmark Android: superato da modelli precedenti e con costi più alti del previsto Google ha aggiornato i risultati di Android Bench, il benchmark dedi...
Najnowszy benchmark AA-Briefcase dowodzi, że sztuczna inteligencja wciąż nie radzi sobie ze złożonymi zadaniami biurowym...
Najnowszy benchmark AA-Briefcase dowodzi, że sztuczna inteligencja wciąż nie radzi sobie ze złożonymi zadaniami biurowymi. Najlepsze modele poprawnie rozwiązują zaledwie 3% wieloet...
RT @NeoAIForecast: Fabels größter Return-Benchmark wird nicht Reasoning oder Coding sein. Es ist das Überleben der erste...
RT @NeoAIForecast: Fabels größter Return-Benchmark wird nicht Reasoning oder Coding sein. Es ist das Überleben der ersten 24 Stunden, bevor Pliny es wieder jailbreakt. Pliny the Li...
DeepSeek V4 Pro vs GPT-4o: Real Benchmark Comparison (June 2026)
DeepSeek V4 Pro vs GPT-4o: Real Benchmark Comparison (June 2026) I ran both models through...
🔥 We just published our Q4 local planner benchmark comparing local AI models for browser automation:• DiffusionGemma-26B...
🔥 We just published our Q4 local planner benchmark comparing local AI models for browser automation:• DiffusionGemma-26B-A4B-it: 0.35s median, 84% accuracy — fastest!• Gemma 4 12B ...
【QIMMA قِمّة ⛰: 品質第一のアラビア語LLMリーダーボード】https://huggingface.co/blog/tiiuae/qimma-arabic-leaderboard※AI生成の自動投稿（見出し＋リンク）#AI #...
【QIMMA قِمّة ⛰: 品質第一のアラビア語LLMリーダーボード】https://huggingface.co/blog/tiiuae/qimma-arabic-leaderboard※AI生成の自動投稿（見出し＋リンク）#AI #生成AI #LLM #AIGenerated
【Open ASR リーダーボードに Benchmaxxer Repellant を追加】https://huggingface.co/blog/open-asr-leaderboard-private-data※AI生成の自動投稿（見出し...
【Open ASR リーダーボードに Benchmaxxer Repellant を追加】https://huggingface.co/blog/open-asr-leaderboard-private-data※AI生成の自動投稿（見出し＋リンク）#AI #生成AI #LLM #AIGenerated
The Evolving Role of the Data, AI, and Analytics Executive: 2026 Benchmark Survey
The Evolving Role of the Data, AI, and Analytics Executive: 2026 Benchmark Survey - CDO Magazine
The leaderboard, sorted by executive and the teams underneath them, has a feature that shows users which employees have ...
The leaderboard, sorted by executive and the teams underneath them, has a feature that shows users which employees have not earned the badges. “click to see who 👀,” the leaderboard...
Salesforce’s Internal AI Leaderboard Has Teams Competing for Little Trophies https://fed.brid.gy/r/https://www.404media....
Salesforce’s Internal AI Leaderboard Has Teams Competing for Little Trophies https://fed.brid.gy/r/https://www.404media.co/salesforces-internal-ai-leaderboard-has-teams-competing-f...
I built a Homebrew for AI skills: install flow and eval harness inside
SkillForge is a local-first OSS tool that turns a plain-English engineering need into installable SKILL.md, README.md, and config.yaml files. Six LLM providers, LLM-as-judge eval h...
GLM-5.2 tops the open-weights leaderboard with a score of 51, Anthropic faces export control controversy over Fable 5, a...
GLM-5.2 tops the open-weights leaderboard with a score of 51, Anthropic faces export control controversy over Fable 5, and Midjourney pivots to medical ultrasound hardware.https://...
Is AI Getting Quietly Dumber? A 24/7 Benchmark That Catches LLM Degradation
You've probably hit this before — yesterday the AI felt sharp, fixed your bug without you even...
Your Agent Passed Every Eval and Still Cost $4,000 a Day
Here is a failure mode nobody puts on their roadmap: the agent works. It answers correctly. It passes...
JAMER: Project-Level Code Framework Dataset and Benchmark on Professional Game Engines
Current AI-driven game development has made substantial progress in asset generation, gameplay design, and web-based game coding, yet project-level code engineering on professional...
DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis
Advances in radiance fields have enabled photorealistic novel view synthesis. In several domains, large-scale real-world datasets have been developed to support comprehensive bench...
I cut an AI agent's input tokens by 71% and quality held — here's the 66-task benchmark
I cut a coding agent's input tokens by 71% — from 5.07M down to 1.46M across a 66-task run — and...