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DSPY on action with OpenSource LLMs. | Language: Jupyter Notebook
Stop prompt engineering! Program your LLMs with DSPy | Language: Jupyter Notebook
DSPy(https://dspy.ai/tutorials)中的示例整合到一个项目中，基于本地ollama模型运行。 | Language: Python | License: Apache License 2.0
DSPy-style framework for optimizing text-to-video generation using VBench metric feedback | Language: Python | License: MIT License
This skill bridges the gap between the Haystack orchestration framework and DSPy’s optimization engine, allowing developers to automatically tune...
Structured output benchmarks comparing DSPy and BAML with different LLMs | Language: Python | License: MIT License
AI Engineer Workshop - DSPy is All You Need | Language: Jupyter Notebook | License: MIT License
In Japanese language, introduction to DSPy.
This is a Demo of Optical Character Recognition task using FastApi , ReactJs, PostgreSQL, Gemini AI, DSPy prompt engineering ... | Channel: Jayesh...
MCP server integrating GEPA (Genetic-Evolutionary Prompt Architecture) for automatic prompt optimization with Claude Desktop | Language: Python |...
Exploring advanced prompting tools to query SQL database with multiple tables in natural language using LLMs | Language: Jupyter Notebook | License:...
AI-Powered Thesis Review Tool | Language: Python | License: MIT License
Discover advanced AI techniques in my repository combining Multi-Hop Chain of Thought (CoT) and Retrieval-Augmented Generation (RAG) using DSPy and...
DSPy中文文档 | Language: TypeScript | License: MIT License
RAG example using DSPy, Gradio, FastAPI | Language: Python | License: MIT License
Applications developed for the enterprise need to be rigorous, testable, and robust. The same is true for applications that use AI, ... | Channel: AI...
ContextLoom is the shared "brain" for multi-agent systems. It weaves together memory threads from frameworks like DSPy and CrewAI into a unified,...
In this article, we’ll understand what DSPy means and build a practical Text-to-SQL application to see how it works.
Using Python and DSpy’s Recursive Language Model implementation to handle unbounded context lengths. | Language: Python | License: MIT License
A lightweight implementation of the GEPA (Genetic-Pareto) prompt optimization method for large language models. | Language: Python | License: MIT...