LLM Evals

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Scoured 51 posts in 6.6 ms

Understanding evaluation collections in EvalHub

 🧠AI Research
developers.redhat.com·

UrduMMLU: A Massive Multitask Benchmark for Urdu Language Understanding

 🧠AI Research  Content type: Academic
arxiv.org·
Less-relevant results

Show HN: Storytime – Continuity for Claude Code (and other ideas)

 ⚙️AI Infrastructure
1ps0.info··Hacker News

Google Deepmind's Gemma 4 12B squeezes multimodal AI onto a laptop with just 16 GB of RAM

 🧠AI Research
the-decoder.com
·

The State of LLM Evaluation (2026): Why Evals Became the New Unit Tests

 🔭Bird Watching  Content type: Blog
medium.com
·

What Does Abliteration Actually Cost?

 🧠AI Research
lesswrong.com·

🧾 Weekly Wrap Sheet (06/05/2026): Prospectuses & Platforms

 🧠AI Research  Content type: News  Content type: Blog

Reality: The Final Eval — Lukas Petersson and Axel Backlund of Andon Labs

 🧠AI Research
latent.space··Hacker News

Launch HN: General Instinct (YC P26) – Frontier models on edge devices

 🖥️Computer Hardware  Content type: Discussion

RealMath-Eval: Why SOTA Judges Struggle with Real Human Reasoning

 🧠AI Research  Content type: Academic
arxiv.org·

nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16

 🖥️Computer Hardware

Adrarsh Divakaran: Building AI Agents in Python

 🧠AI Research  Content type: Blog
blog.adarshd.dev·

Beyond English benchmarks: clinical llm evaluation in Brazilian Portuguese

 🏥Medical Terms  Content type: Academic
arxiv.org·

Why Shrinking an AI Model Often Makes It More Useful

 🖥️Computer Hardware
siliconopera.com·

Cybersecurity M&A Roundup: 26 Deals Announced in May 2026

 🖥️Computer Hardware
securityweek.com·

What Is an Agent?

 🔧MLOps  Content type: News  Content type: Blog

SurgiQ: A Large-Scale Multi-Domain Benchmark for Evaluating Surgical Understanding in Large Language Models

 🧠AI Research  Content type: Academic
arxiv.org·

LLM Research Papers: The 2026 List (January to May)

 🧠AI Research  Content type: News

justification

 C++  Content type: Blog
0gs.bearblog.dev·

Rank Intervals for Leaderboards: A Hierarchical Framework for Model Evaluation

 🧠AI Research  Content type: Academic
arxiv.org·

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