LLM Evals

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An LLM benchmark is only useful for as long as it's hard

 🧠LLMs  Content type: Blog
dev.to··DEV

Introducing FrontierCode

 🧩AI Frameworks  Content type: Blog
cognition.ai··Hacker News

$\tau$-Rec: A Verifiable Benchmark for Agentic Recommender Systems

 💾Agent Memory  Content type: Academic
arxiv.org·
Less-relevant results

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

 💾Agent Memory  Content type: Discussion

CommBench: Can LLMs Write Correct and Efficient GPU Communication Code?

 🌐Open Source AI

Show HN: AgentCarousel – behavioral tests for AI agents, with signed evidence

 🤖AI Agents  Content type: Code
github.com··Hacker News

Law Professors Prefer AI over Peer Answers

 📐AI Architecture  Content type: Academic

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

 🌐Open Source AI

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

 🌐Open Source AI  Content type: News

The Vanta AI Quality Eval Maturity Model

 🔭AI Observability
vanta.com
··Hacker News

UrduMMLU: A Massive Multitask Benchmark for Urdu Language Understanding

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

The Hidden Truth Behind AI-Driven Layoffs in Big Tech

 🧠LLMs  Content type: Blog
dev.to··DEV

Apple WWDC On-Device AI Deep Dive - Google Docs

 🧠LLMs
gist.is··Hacker News

Beyond English benchmarks: clinical llm evaluation in Brazilian Portuguese

 🧠LLMs  Content type: Academic
arxiv.org·

Architecture Breakdown: Building an Enterprise-Grade Legal RAG System (From Ingestion to RAGAS Evaluation)

 🔍RAG  Content type: Blog
dev.to··DEV

Shrivastava-Aditya/boolean-algebra-engine: Deterministic boolean algebra engine — evaluates expressions, detects contradictions, audits logic rules. MCP server, NL layer, REST API, CLI, Streamlit UI.

 ✍️Prompt Engineering  Content type: Code
github.com··Hacker News, r/LLM

PhantomBench: Benchmarking the Non-existential Threat of Language Models

 🧠LLMs  Content type: Academic
arxiv.org·

Hallucination Detection Is Not a Model Problem—It's an Architecture Problem

 🧠LLMs  Content type: Blog
dev.to··DEV

NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track

 🔍RAG  Content type: Academic
arxiv.org·

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