#dspy

I got tired of babysitting LLM prompts, so I built a small open source tool to stop. The pattern that...

A book review of “Building LLM Applications with DSPy” Disclaimer: I want to be completely...

프롬프트는 사람이 매번 손으로 튜닝합니다. 모델이 바뀌면 다시 처음부터. DSPy·OPRO 같은 프레임은 프롬프트를 자동으로 최적화합니다 — 골든셋과 메트릭만 주면 도구가 가장 좋은 프롬프트를 찾아옵니다. 마케터가 알아야 할 자동 프롬프트 엔지니어링.

Let me paint you a picture that probably feels familiar. You spend 45 minutes crafting the perfect...

Go beyond trial-and-error prompt engineering — use DSPy, prompt tuning, and systematic optimization to build reliable LLM pipelines.

I was spending ~$200/month on Claude API calls for an internal automation pipeline. After integrating...

DSPy replaces fragile prompt strings with typed signatures and compiled optimizers. MIPROv2 and GEPA lift accuracy 10-65% without touching model weights.

Correction (15 July 2026): the latency numbers in this post were stale. They came from a benchmark...

Production comparison of LangChain, LlamaIndex, AutoGen, CrewAI, and DSPy. Benchmark data, real trade-offs, and framework selection criteria for engineers shipping AI agents.

This article was originally written by Adrian Payong (AI Consultant and Technical Writer) and Shaoni...

For an year, I treated LLMs like a command line. Type instructions, pray for output. Tweaking...

Detecting AI-generated text has become a hot topic, with researchers and practitioners debating its...