LLM Benchmarking

A deep dive into evaluating the agentic capabilities of open models like DeepSeek-V3 and Llama 3.1 using custom tooling and rigorous benchmarking frameworks.

An in-depth look at how Anthropic's 2023 study used 'anticipated software' to forecast the theoretical capabilities of LLMs in the global job market.

A comprehensive guide to the EVA (Evaluating Voice Agents) framework, exploring how to measure latency, accuracy, and conversational flow in modern AI voice systems.

A deep dive into the performance of NVIDIA's Nemotron 3 Nano small language model, utilizing the NeMo Evaluator framework to establish a new open standard for efficient AI benchmarking.