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DSPy

4 articles · Page 1 of 1
DaTaobao Tech
DaTaobao Tech
Sep 16, 2026 · Artificial Intelligence

GEPA: Zero-Config Prompt Self-Evolution via Reflective Mutation & Pareto Optimization

This article details a production-ready GEPA (Genetic-Pareto Reflective Prompt Evolution) system that automates prompt optimization through a data-driven loop of inference, scoring, reflection, and Pareto-frontier selection, replacing manual trial-and-error with a task-agnostic, zero-configuration pipeline that supports classification, scoring, and clustering tasks while preserving explainability.

DSPyGEPALLM Judge
0 likes · 31 min read
GEPA: Zero-Config Prompt Self-Evolution via Reflective Mutation & Pareto Optimization
TonyBai
TonyBai
Sep 9, 2026 · Artificial Intelligence

YC Debunks 'Model-Only' Myth: Harness, Not Model, Sets Agent Ceiling

YC Paper Club reveals how the same Claude Opus model scores 30% on ARC-AGI bare but reaches 95% with proper Harness, and NVIDIA's AVO hits 100%, proving agent runtime—not model weights—determines the performance ceiling.

ARC-AGIAgent RuntimeContinual Harness
0 likes · 20 min read
YC Debunks 'Model-Only' Myth: Harness, Not Model, Sets Agent Ceiling
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Apr 10, 2026 · Artificial Intelligence

Why HermesAgent Outperforms OpenClaw: A Deep Source‑Code Analysis

The article dissects HermesAgent’s architecture, showing how it extends OpenClaw with self‑learning, reinforcement‑learning modules, and advanced prompt‑evolution techniques to mitigate token‑hole costs and achieve more deterministic results, while also detailing its TUI‑driven CLI and evaluation workflow.

DSPyGEPAHermesAgent
0 likes · 8 min read
Why HermesAgent Outperforms OpenClaw: A Deep Source‑Code Analysis