LLM Evaluation articles

3 articles about LLM Evaluation, newest first.

• Measuring AI Agent Success: Clay's Quality, Throughput, and Cost Framework — Learn how Clay evaluates AI agents using a mix of deterministic matching, factual evals, and LLM-as-a-judge to balance quality, speed, and cost.
• How to Evaluate AI Agents: A Practical Guide for Developers — Learn practical ways to evaluate AI agents, use LLMs as judges, build real‑world test sets, and keep evaluation continuous.
• DeepSWE Benchmark: Testing LLMs on Fresh, Contamination‑Free Coding Tasks — Learn how DeepSWE creates 113 brand‑new software tasks to evaluate LLMs without training contamination, revealing true coding limits.