It directly addresses a specific and common failure mode in LLM reasoning—repetition loops—with a targeted, efficient approach that adapts a proven preference optimization method (Antislop) to this narrow problem, providing detailed hyperparameter guidance and multi-GPU support including AMD ROCm.
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Harness Engineering is a methodology for improving coding agent outputs by carefully crafting the environment around them—providing curated context, tools, and executable constraints that encode an organization’s nonfunctional requirements and cumulative lessons.
A 28.9 million parameter language model runs on an $8 ESP32-S3 microcontroller entirely on-device, generating simple stories at about 9.5 tokens per second.
mimic captures traffic from any iOS or web app and automatically generates a Python client library that lets you call the app's API like a regular library.
