How I Built Deterministic LLM Evaluation Metrics for DeepEval

Can LLMs Actually Judge Web Development Quality? Spoiler: Not Really

The Challenge of Reproducible LLM Inference: Why Even Greedy Sampling Isn't Deterministic

The article discusses the challenge of achieving reproducible results in Large Language Model (LLM) inference. Even when using greedy sampli

Reflections on LLMs and Their Impact on Software Development Practices

The author shares personal reflections on the current state of Large Language Models (LLMs) and AI in software development, questioning whet

The Attention Arms Race: How Modern Open-Source LLMs Are Reinventing the Transformer's Core

LLM Stats: Platform for Comparing AI Language Models by Benchmarks, Cost, and Capabilities

LLM Stats is a platform that allows users to compare various AI language models (LLMs) across multiple dimensions including performance benc

Comparing Code-Driven and LLM-Driven Workflows for Internal Agent Development

The article discusses the author's experience building internal agents and compares code-driven versus LLM-driven workflows. While initially