Running Agents 1 FlavourBench 🍲 1 Explore and compare LLM performance on the FlavourBench leaderboard
FlavourBench: Ranking Frontier Language Models with Executable Culinary Ground Truth Paper • 2608.20574 • Published 7 days ago • 3
Sleeping Agents 1 Ready Cohorts Explorer 🚀 1 Explore GPU-ready cohorts for deterministic agent control.
Sleeping Agents 1 Ready Cohorts Explorer 🚀 1 Explore GPU-ready cohorts for deterministic agent control.
Running Agents 1 FlavourBench 🍲 1 Explore and compare LLM performance on the FlavourBench leaderboard
FlavourBench: Ranking Frontier Language Models with Executable Culinary Ground Truth Paper • 2608.20574 • Published 7 days ago • 3
FlavourBench: Ranking Frontier Language Models with Executable Culinary Ground Truth Paper • 2608.20574 • Published 7 days ago • 3
Running Agents 1 FlavourBench 🍲 1 Explore and compare LLM performance on the FlavourBench leaderboard
Ready Cohorts: Bounding GPU Opportunity and Avoiding Host Round Trips in LLM-Agent Control Paper • 2608.12123 • Published 15 days ago • 2
Ready Cohorts: Bounding GPU Opportunity and Avoiding Host Round Trips in LLM-Agent Control Paper • 2608.12123 • Published 15 days ago • 2
Sleeping Agents 1 Ready Cohorts Explorer 🚀 1 Explore GPU-ready cohorts for deterministic agent control.
Running Agents Featured 62 Epicure Explorer 🌶 62 Operators behind the FlavourBench culinary benchmark
When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models Paper • 2606.27288 • Published Jun 25 • 4
Running 1 Combining LLMs Rarely Beats the Single Best Model 🎲 1 beta=P(all wrong): the co-failure ceiling on LLM ensembles