#dspy articles | Hashnode

CMChaeyeon Mia Leemiainflorence.hashnode.devAug 4 · 10 min read

GEPA: How Prompt Evolution Beats Reinforcement Learning Without Touching Model Weights

You've spent 40 GPU-hours fine-tuning a model with GRPO. It works great — until your downstream pipeline changes, or the base model gets upgraded, and you're back to square one. Meanwhile, your engine

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JKJangwook Kimeffloow.hashnode.devApr 30 · 10 min read

DSPy 3.x: Compile and Optimize LLM Pipelines Automatically

If you've spent hours rewriting the same prompt to squeeze out a few more correct answers, DSPy offers a different deal: describe what your LLM pipeline should do, then let an optimizer figure out the best prompts automatically. DSPy (Declarative Sel...

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XYXiao Yaoblog.appliedaihub.orgApr 3 · 14 min read

LangChain, DSPy, and the Physics of Probability Engineering

A thread on r/PromptEngineering last week opened with a genuinely sharp question: "Is 'probability distribution engineering' just a fancy way of saying 'be more specific'? And isn't that just DSPy run

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TFTheresa Fruhwuerthllmshowto.comJul 24, 2025 · 14 min read

LLM Evaluation: Using DSPy to decompose an LLM Judge

Introduction I have been tinkering with LLMs at work and outside now for quite a while and one of the most pressing issues compared to traditional machine learning is the unsolved problem of how to evaluate them. Evaluating LLM outputs is exponential...

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PTPraghadeesh T K Sblog.praghadeesh.comJul 13, 2025 · 4 min read

Bored of Prompt Engineering? Try DSPy

With the advent of LLMs in the recent few years, we stumbled upon something called Prompt Engineering - let’s speak a few words about it to set the context right and then let’s venture into DSPy What is Prompt Engineering? Prompt Engineering is the ...

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BNBosire Nyakundibuildwithbos.hashnode.devJul 2, 2025 · 10 min read

Systematic Prompting in the New Era of Software

💡 This blog post draws inspiration from Andrej Karpathy's insightful talk, "Software is Changing" which I highly recommend watching! It offers a fascinating perspective that will broaden your understanding of the topic. Those who watched Andrej's ...

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SASimeon Adebolacircuitmaverick.hashnode.devMar 27, 2025 · 5 min read

How to Build Efficient RAG Pipelines Using DSPy

What is DSPy DSPy(Declarative Self-Improving Language Programs) is a framework for building AI applications. Unlike its counterparts i.e. Langchain, Llamaindex, it emphasizes programming the LLM model over prompt engineering. In this tutorial, you wi...

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GGitHubOpenSourcegithub-open-source.hashnode.devMar 12, 2025 · 3 min read

Revolutionizing LLM Development: LangWatch - Your All-in-One LLM Ops Platform

📝 Quick Summary: LangWatch is an LLM Ops platform designed to monitor, experiment with, and optimize LLM pipelines. It offers features such as a drag-and-drop optimization studio, quality assurance tools with evaluators and dataset management, and m...

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MÖMehmet Öner Yalçınoneryalcin.hashnode.devJan 20, 2025 · 3 min read

DSPy Part 5: The Portable Fact-Checker – One Codebase, Any Model

The Problem: Model Lock-In Is a Jail of Your Own Making After months of training, our fact-checking intern, Chatty, is now a star. But then your boss says: “Great! Now port this to Claude. And Llama. And the new Google model next week.” Manual Approa...

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MÖMehmet Öner Yalçınoneryalcin.hashnode.devJan 20, 2025 · 4 min read

DSPy for Dummies: Taming Language Models Without Losing Your Mind

The Problem: Language Models Are Like Overeager Interns Imagine you’ve hired a brilliant but chaotic intern named "Chatty" (your language model). You ask Chatty to draft an email. It writes a Shakespearean sonnet. You say, “No, just a meeting reminde...

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Trending tags this week

GEPA: How Prompt Evolution Beats Reinforcement Learning Without Touching Model Weights

DSPy 3.x: Compile and Optimize LLM Pipelines Automatically

LangChain, DSPy, and the Physics of Probability Engineering

LLM Evaluation: Using DSPy to decompose an LLM Judge

Bored of Prompt Engineering? Try DSPy

Systematic Prompting in the New Era of Software

How to Build Efficient RAG Pipelines Using DSPy

Revolutionizing LLM Development: LangWatch - Your All-in-One LLM Ops Platform

DSPy Part 5: The Portable Fact-Checker – One Codebase, Any Model

DSPy for Dummies: Taming Language Models Without Losing Your Mind

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#dspy

Explore Hashnode

Trending tags this week

GEPA: How Prompt Evolution Beats Reinforcement Learning Without Touching Model Weights

DSPy 3.x: Compile and Optimize LLM Pipelines Automatically

LangChain, DSPy, and the Physics of Probability Engineering

LLM Evaluation: Using DSPy to decompose an LLM Judge

Bored of Prompt Engineering? Try DSPy

Systematic Prompting in the New Era of Software

How to Build Efficient RAG Pipelines Using DSPy

Revolutionizing LLM Development: LangWatch - Your All-in-One LLM Ops Platform

DSPy Part 5: The Portable Fact-Checker – One Codebase, Any Model

DSPy for Dummies: Taming Language Models Without Losing Your Mind