1696 articles tagged with Benchmark
⚖️ Dai benchmark alle policy: nelle aziende l’AI passa dall’entusiasmo al razionamento dei token. Ora contano valore, costi e priorità. #AI #Impresa🔗 https://www.tomshw.it/business...
Before writing any LLM logic, define your evaluation step. Here's how evals catch bad outputs early on production systems.
A 60-line static probe found 3 contamination points in an agent eval harness, exit 1, without running the agent. Passing the eval is not solving the task.
As large language models and harness frameworks continue to advance, agents operating in terminals are increasingly capable of performing a broader range of general computer-use ta...
Recent interest in multimodal large language models (MLLMs) raises a central question: can they reason over dynamic visual evidence rather than merely recognize objects or events i...
How do you build an expert-grade research QA benchmark without hand-authoring a single question?Mine the survey articles. Their section structure already encodes what a field asks ...
Web-agent benchmarks overwhelmingly measure depth -- pinning one obscure answer behind a chain of constraints -- while breadth, exhaustively enumerating a closed set and filling ea...
【FFASRリーダーボードのご紹介：実世界におけるASRのベンチマーク】https://huggingface.co/blog/ffasr-leaderboard※AI生成の自動投稿（見出し＋リンク）#AI #生成AI #LLM #AIGenerated
Complete preparation breeds complacency. What is seen every day no longer raises suspicion. The...
I almost shipped a RAG pipeline that, on certain questions, cited exactly the right document — and...
Mumbai (Maharashtra) [India], June 24: In a major breakthrough for clinical artificial intelligence, the LaennecAI Clinical Research Team announced today that Zorgm Pro, an educati...
Tokenization is central to adapting scientific data for transformer-based foundation models, yet its impact on learned representations remains poorly understood. We compare four to...
🧠 Researchers have developed the first benchmark for measuring AI performance in marketing tasks. The benchmark enables systematic evaluation of how well AI systems handle marketin...
Series context: This is a follow-up to How I Automate Parts of My SDLC with AI Agents. Earlier posts...
I was building an "Ask This Book" feature: readers can ask questions about a book while they're...
A pure-Python structured memory benchmark for multi-agent LLM systems — context graph vs vector RAG vs raw history dump, five scenarios, 18 graded queries, zero API calls.
Frontier LLM inference is expensive. I wanted to see how far a 4B local model could go before needing...
🧠 #GLM 5.2 ha raggiunto il 44% di pass@1 su #DeepSWE, diventando il primo modello open-source nella leaderboard.👉 I dettagli: https://www.linkedin.com/posts/alessiopomaro_glm-deeps...
Text-to-image (T2I) generation models have achieved remarkable progress in producing visually realistic images from natural language prompts. Yet it remains unclear whether their s...
Large language models are increasingly deployed as agents that reason over documents rather than answer from parametric knowledge. We study archive-grounded reasoning: locating spa...
Why eval startups fail (2025)
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...