리소스
리소스 (Resources)
DSPy에 관한 튜토리얼과 블로그 글 목록이에요. 자신의 튜토리얼을 추가하고 싶다면 PR을 보내주세요.
출처: 문서
본문
블로그 & 비디오 (Blogs & Videos)
블로그 (Blogs)
| 이름 | 링크 |
|---|---|
| Why I bet on DSPy | Blog |
| Not Your Average Prompt Engineering | Blog |
| Achieving GPT-4 Performance at Lower Cost | Link |
| Prompt engineering is a task best left to AI models | Link |
| What makes DSPy a valuable framework for developing complex language model pipelines? | Link |
| DSPy: A new framework to program your foundation models just by prompting | Link |
| Intro to DSPy: Goodbye Prompting, Hello Programming | Link |
| DSPyGen: Revolutionizing AI | Link |
| Building an AI Assistant with DSPy | Link |
| Building Self-improving Agents in Production with DSPy | Link |
비디오 (Videos)
| 이름 | 링크 |
|---|---|
| DSPy Explained! (60K views) | Link |
| DSPy Intro from Sephora (25K views) | Link |
| Structured Outputs with DSPy | Link |
| DSPy and ColBERT - Weaviate Podcast | Link |
| SBTB23 DSPy | Link |
| Optimization with DSPy and LangChain | Link |
| Automated Prompt Engineering + Visualization | Link |
| Transforming LM Calls into Pipelines | Link |
| NeurIPS Hacker Cup: DSPy for Code Gen | Link |
| MIPRO and DSPy - Weaviate Podcast | Link |
| Getting Started with RAG in DSPy | Link |
| Adding Depth to DSPy Programs | Link |
| Programming Foundation Models with DSPy | Link |
| DSPy End-to-End: SF Meetup | Link |
| Monitoring & Tracing DSPy with Langtrace | Link |
| Teaching chat models to solve chess puzzles using DSPy + Finetuning | Link |
| Build Self-Improving AI Agents with DSPy (No Code) | Link |
| DSPy 3.0 and DSPy at Databricks | Link |
| Context Engineering with DSPy | Link |
슬라이드 (Slides)
| 이름 | 링크 |
|---|---|
| Context Engineering with DSPy | Link |
팟캐스트 (Podcasts)
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이 목록은 DSPy 리소스의 엄선된 모음이에요. 커뮤니티에서 새 콘텐츠가 나오면 계속 추가하고 있어요.
크레딧: 이 리소스 중 일부는 원래 Awesome DSPy 저장소에 정리된 것이에요.
더 알아보기 (Learn more)
- Built with DSPy — 프로젝트·논문
- Use Cases — 프로덕션 사례