LLM Evals

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olmo-eval: An evaluation workbench for the model development loop | Ai2

 ⚙️LLMOps  Content type: Blog
allenai.org·

Soft-Prompt Tuning for Fair and Efficient LLM Benchmark Evaluation

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

Bring your own evaluation framework to EvalHub

 🧪MLflow
developers.redhat.com·

WhatLLM.org: Compare LLMs by Benchmarks, Price & Speed

 🌐Open Source AI  Content type: Discussion  Content type: Reference
whatllm.org·
Less-relevant results

The biggest local LLM on your machine is useless if it can't call a single tool, no matter how many parameters it has

 🌐Open Source AI
xda-developers.com·

Claude Fable 5 vs GPT-5.5: Complete Benchmark Comparison and What It Means for AI Developers

 🧠LLMs  Content type: Blog
blogarama.com·

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

 🛡️AI Safety  Content type: News  Content type: Blog
saanyaojha.substack.com··Substack

Mi50 32GB / GFX906 - vLLM Qwen 3.5 Configuration for Qwen 3.5:9B AWQ-4bit

 🌐Open Source AI
huggingface.co··r/LocalLLaMA

Recursive Self-Improvement

 🌐Open Source AI  Content type: News  Content type: Blog
ana15.substack.com··Substack

Researchers say they trained a foundation model from scratch for about $1,500

 🌐Open Source AI
venturebeat.com··Hacker News

Why Shrinking an AI Model Often Makes It More Useful

 🌐Open Source AI
siliconopera.com·

M\"OVE: A Holistic LLM Benchmark for the German Public Sector

 🧠LLMs  Content type: Academic
arxiv.org·

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

 🌐Open Source AI  Content type: News
magazine.sebastianraschka.com
··Hacker News·Cited by 1 article

Context windows in AI: why every token is a budget decision

 ✍️Prompt Engineering  Content type: Blog
redis.io·

ARMOR-MAD: Adaptive Routing for Heterogeneous Multi-Agent Debate in Large Language Model Reasoning

 🤖AI Agents  Content type: Academic
arxiv.org·

Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

 💻AI Engineering
venturebeat.com··r/LocalLLaMA

Standing at the Foot of the Singularity

 🛡️AI Safety  Content type: Blog
medium.com·

DiffusionGemma 26B A4B results on my 5090

 🌐Open Source AI
huggingface.co··r/LocalLLaMA

A Controlled Study of Decoding-Time Truthfulness Methods on Instruction-Tuned LLMs

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

UrduMMLU: A Massive Multitask Benchmark for Urdu Language Understanding

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

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