AI in Women's Preventative Health: Transforming Care and Outcomes
A closer look at the current promise and perils of AI in women's health
A closer look at the current promise and perils of AI in women's health
Three categories: next examples I'd add, production patterns the skills currently stop short of, and one speculative research idea I'd like to see someone try.
Three end-to-end runs on free OpenRouter models. Real baselines. Real optimized scores. The counterintuitive reason why a smaller task LM exercises GEPA better than a bigger one.
Fifteen seconds to install. Five minutes to smoke-test. Twenty to forty minutes for a real GEPA run. Works in Claude Code, Codex CLI, and anything else that respects the Agent Skills spec.
DSPy turns prompts into programs. GEPA optimizes those programs without RL. RLM reasons over inputs bigger than any context window. dspy-agent-skills packages that workflow for coding agents.