A leading AI company needed thousands of specialists to evaluate image outputs at speed. Here's what we did:
▪️ 2M+ tasks completed
▪️ 4,000+ specialists, within days
▪️ Quality at scale
Read more: imerit.net/resources/ca...

#ImageGeneration #AIEvaluation #RLHF

Channel9 GPT-5 pro Evaluation Challenge #azureai #aievaluation #microsoftfoundry: Assessing evaluation tools. Full video: https://youtu.be/o5o #AI #MachineLearning #GPT5

Strands' eval framework forces real‑world metrics-latency, safety, drift-into the loop, finally making production‑grade agent testing less guesswork. 🤖 #aievaluation

Evaluating AI agents for production: A practical guide to Strands Evals

AI image models can pass every automated check and still ship risk. Drift, IP issues, bias, and prompt gaps aren’t edge cases; they’re what tools miss.

iMerit adds expert human judgment to catch what matters before it reaches users: bit.ly/4dbqVW3

#AIEvaluation #GenerativeAI #HumanInTheLoop

The Key Facets of AI Evaluation in the Contact Center  Organizations must think about when, how, by whom, and on what data AI systems are evaluated. This blog explores the key facets of AI evaluation and how they apply specifically to contact center environments. The post The Key Facets of AI Evaluation in the Contact Center  appeared first on Microsoft Dynamics 365 Blog.

The Key Facets of AI Evaluation in the Contact Center : Organizations must think about when, how, by whom, and on what data AI systems are evaluated. This blog explores the key facets of AI evaluation and how they apply specifically to contact… @MSFTDynamics365 #AI #ContactCenter #AIEvaluation

Building a Zero-Click AI Evaluation Pipeline for Production

A practical guide to building an AI evaluation framework for GenAI systems, covering bias testing, auto LLM judges, and production-ready evaluation pipelines. #aievaluation

The Artificial Intelligence Cognitive Examination: A Survey on the Evolution of Multimodal Evaluation From Recognition to Reasoning This survey paper chronicles the evolution of evaluation in multimodal artificial intelligence (AI), framing it as a progression of increasingly sophisticated “cognitive examinations.” We argue that…

Research: doi.org/10.1109/ACCE... The Artificial Intelligence Cognitive Examination: , IEEE Access @ieeeaccess.bsky.social

#ArtificialIntelligence #AIResearch #MachineLearning #AIEvaluation #MultimodalAI #TechEthics #IEEEAccess #ScienceCommunications

Get to Know 25 Steps Before Building Effective Voice Agents

Edge inference and rigorous evaluation are what separate “clever” from mission‑critical. youtube.com/shorts/oFXbR...
#RAG, #EdgeAI, #AITrust, #AISafety, #AIEvaluation, #VoiceAgent

#NLP #LLMs #MentalHealth #ClinicalNLP #DigitalHealth #ResponsibleAI #NLProc #AIevaluation #ModelEvaluation #TrustworthyAI #Safety #Equity #HumanCenteredAI

Every Eval Ever: Toward a Common Language for AI Eval Reporting The multistakeholder coalition EvalEval launches Every Eval Ever, a shared format and central eval repository. We’re working to resolve AI evaluation fragmentation, improving formatting, settings, and...

Read the full announcement: evalevalai.com/infrastructu...
Shared Task: evalevalai.com/events/share...
Project Webpage: evalevalai.com/projects/eve...

#AIEvaluation #EvalEval

Mainstream AI Agents in a Logic Number Puzzle Contest

AI agents keep getting better at math and reasoning, or do they?

I ran a straightforward and revealing test: how well do today’s mainstream AI agents solve Calcudoku puzzles?

I benchmarked 10 agents.
Results surprised me 👇
www.calcudoku.org/papers/ai_ag...

#AI #LLMs #AIEvaluation #Calcudoku

What happens when a commissioner and a consultant sit down for an honest, open conversation about AI in evaluation? Our latest blog tackles the practical, awkward, & important questions AI is raising between commissioners and consultants evaluation.org.uk/ai-in-evalua...
#Evaluation #AIEvaluation

Remember overfitting? It's back, but make it RAG.

Researchers show that when RAG systems get "insider knowledge" of how LLM judges evaluate them, they achieve near-perfect scores by gaming the metrics, not by actually improving.

Full Paperzilla summary in the comments

#rag #ai #LLM #AIEvaluation

ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems The Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI), introduced in 2019, established a challenging benchmark for evaluating the general fluid intelligence of artificial ...

Data contamination threatens #LLM #AIEvaluation
Scaling has “limits to growth”. New #ARCAGI2 counters this problem with contamination resistant, compositional reasoning tests and human baselines require original reasoning Not just memory recall evaluation arxiv.org/abs/2505.11831

A Survey on Data Contamination for Large Language Models

#DataContamination #AIEvaluation Training–test overlap can inflate LLM scores. “data contamination” in #LLMs, defined as unintended overlap between training data & evaluation data that can inflate measured performance & misrepresent true generalization. arxiv.org/html/2502.14...

Master Generative AI Evaluation: From Single Prompts to Complex Agents | Google Cloud Blog Master the critical step of GenAI evaluation. Learn to move your LLM, RAG, and complex agent applications from prototype to production using a rigorous, metrics-driven approach with hands-on labs for ...

How do you actually know if your #AIApp is any good? A "vibe check" only gets you so far. 😅

My colleagues @@smithakolan.bsky.social, Annie Wang, & Rachael Deacon-Smith created a set of four hands-on labs to help you master #AIEvaluation.

Sharing a post by Smitha to introduce them👉
goo.gle/4qlrvnB

When AI models are reused and deployed across systems, safety evaluation can’t be informal. Clear, repeatable practices reduce risk, support go/no-go decisions & build trust across teams and regulators.

Read here: imerit.net/resources/bl...

#AISafety #ResponsibleAI #AIEvaluation

A broader theme emerged: the tendency for open-source models to be heavily optimized for benchmarks. This can inflate scores but might not translate to superior real-world performance or robust application in diverse scenarios. #AIEvaluation 5/6

"The AI History That Explains Fears of a Bubble."
Examine if the current #AI boom is sustainable, drawing parallels to past tech cycles.
Are we building infrastructure or a bubble? 🤔

vaultsage.ai/shares?code=...

#ArtificialIntelligence #TechBubble #LLMs #AIEvaluation #HistoryOfAI

🔸 Join as Remote Content Writer — Pay: Inside
🔸 Remote, USA 🌍
🔸 Write and edit content; review AI outputs.

remotejobs.biz/job/20683194...

#RemoteWritingJobs, #AIEvaluation, #job

Gold standard evaluation sets are the backbone of reliable enterprise AI. Expert-validated benchmarks help uncover bias, improve fairness, meet regulatory needs, and build trust across teams.

Read more: imerit.net/resources/bl...

#AIEvaluation #EnterpriseAI #ResponsibleAI

What are AI Evals? I did a livestream with Jim Bennett (@jimbobbennett) from Galileo recently where we talked about...

What are AI Evals?

dev.to/nickytonline...

#AITesting #AIEvaluation #MachineLearning

I’ve been testing a prompt-level operator that acts like a soft control layer for #LLMs.

It produces a 7.4× contraction in behavioural manifolds and suppresses adversarial drift in repeated generations.

Methods + metrics👉 zenodo.org/records/1771...

#AI #PromptEngineering #Robustness #AIEvaluation

The discussion critiques standard AI benchmarks, questioning their reliability & relevance. Many advocate for task-specific evaluations, noting benchmarks can be overfit & don't always reflect true real-world performance. Custom benchmarks are key. #AIEvaluation 3/5

Council office outlines 2026 priorities: charter review, digital accessibility, records modernization and AI evaluation Clerk Van Meter and council staff presented three 2026 priorities: strengthen board onboarding and move to a new facility at 825 Tech Center Drive; modernize records management with targeted training and evaluate AI tools; and expand inclusive engagement and WCAG accessibility for online materials.

Gahanna's council office is gearing up for 2026 with ambitious plans to modernize records, enhance digital accessibility, and prepare for a pivotal Charter Review Commission.

Learn more here!

#GahannaFranklinCounty #OH #CitizenPortal #GahannaBoards #DigitalAccessibility #AIEvaluation

Accurately evaluating AI models is a major challenge. Discussions questioned SWE-bench relevance and even proposed "sycophancy" scores. Models optimized for benchmarks often fail to deliver true real-world utility. #AIevaluation 4/6

Current AI/LLM benchmarks face severe reliability and validity issues. Discussions reveal concerns about gaming, statistical flaws, and a significant disconnect from real-world applicability in evaluating AI capabilities. #AIEvaluation 1/6

The Easiest Way to Start Using Root Signals Evals in Your AI App - Root Signals Blog Root Signals evals make it easy to automatically evaluate and refine your model's responses, improving performance and consistency with minimal setup.

Want your AI app to sound smarter — automatically?

Root Signals evals help you measure and refine model responses with minimal setup.

🎯 Improve tone, clarity, and helpfulness

⚙️ Works with #OpenAI, #Anthropic & more

👉 bit.ly/4oLkA65
#AI #LLM #AIEvaluation #GenerativeAI

The community questions what LLM poker tournaments truly measure. Given current limitations, they might highlight reasoning failures rather than crowning a true 'winner,' emphasizing the need for robust evaluation. #AIEvaluation 6/6

Woman, wearing a conference badge, standing and smiling beside a conference poster titled "KENSHALL: Cloud-based Collaborative Environment for Personalized Learning Development" on board P-20, with poster sections showing abstract, diagrams of cloud-based architecture and workflow, a world map, and a visible QR code. Left to the woman, an adjacent poster board P-21 is visible.; conference branding for ScaDS.AI Dresden/Leipzig appears at the top left.

@scadsai.bsky.social contributions at the #NHRConference25 in Göttingen combined #HPC engineering, domain-aware #AIEvaluation & empirical socio-technical research to advance AI research & education in a reproducible, scalable & human-centered way.
Book of Abstracts:
🔗https://shorturl.at/VR56s