#llmevaluation — Public Fediverse posts

Your LLM judge is biased, gameable, and miscalibrated. Here's the audit harness that catches position bias, verbosity bias, and self-preference before you ship. https://hackernoon.com/stop-trusting-your-llm-judge-until-it-passes-its-own-audit #llmevaluation

Learn how to build an LLM-as-a-Judge pipeline with LangChain and Claude to score helpfulness and correctness at production scale. https://hackernoon.com/llm-as-a-judge-how-to-build-an-automated-evaluation-pipeline-you-can-trust #llmevaluation

Ah, yes, because what the world truly needs is a *task-free* intelligence test for LLMs—because why bother with those pesky tasks anyway? 🙄 Andrew Marble is here to save us from the mind-numbing chore of actually having measurable criteria for AI evaluation. 💡✨
https://www.marble.onl/posts/tapping/index.html #taskfreeAI #LLMevaluation #AIinnovation #techhumor #AndrewMarble #HackerNews #ngated

🔥 GPT-5 got jailbroken in less than 24 hours. If SOTA models aren't safe, what does that say about yours?

The pace of AI advancement is breathtaking. But security vulnerabilities are advancing just as fast. Evaluate your LLM agents with Giskard.

Request a trial of our AI red teaming platform: https://www.giskard.ai/contact

#Cybersecurity #GPT5Jailbreak #LLMEvaluation #EnterpriseAI

A deep dive into why LLMs need both metrics and human feedback for real-world accuracy, ethics, and performance. https://hackernoon.com/toward-holistic-evaluation-of-llms-integrating-human-feedback-with-traditional-metrics #llmevaluation

At Giskard, we've integrated LMEval into our Phare LLM benchmark (phare.giskard.ai) to independently evaluate popular models' security and safety dimensions - through rigorous testing.

Read the announcement: https://opensource.googleblog.com/2025/05/announcing-lmeval-an-open-ource-framework-cross-model-evaluation.html

#LMEval #AISecurity #LLMEvaluation #OpenSource

🤖 How do you measure the effectiveness of a Large Language Model (LLM)?

From accuracy to adaptability, our latest blog explores key evaluation metrics to ensure your GenAI system delivers real value: https://ter.li/2td617

#GenerativeAI #LLMEvaluation #Tech #AI #LLM

After a year of breakneck innovation and amidst the neverending #AI hype, how do we know if a model is any "good"?

We're excited to share our team’s learnings written by @vicki at @MozillaAI

https://blog.mozilla.ai/exploring-llm-evaluation-at-scale-with-the-neurips-large-language-model-efficiency-challenge/

Given how complex the architectures of these models are, it is crucial that the community start seriously addressing the #LLMevaluation minefield.