Please wait while we find the best results for you.
Analyzing content and applying filters...
A quick demo on how to use DSPy | Language: Jupyter Notebook
The talk explores how to manage multiple AI assistants through a **flexible Routing Agent** that automatically directs queries to the right model....
🛠️ Optimize your prompts to enhance AI agent performance with real-time feedback and tailored solutions in an easy-to-use web interface. | Language:...
Streamlit demo using DSPy to summarize JSON from the Senzing SDK | Language: Python | License: MIT License
Advanced RAG Pipelines optimized with DSPy | Language: Python | License: MIT License
⚡ AI-powered content intelligence with structured data extraction. Self-improving prompts, customizable templates, and feedback learning. Supports...
A focus on aligning room elements for better flow and space utilization. | Language: Python
Determines your "mood" for the week and uses AI to generate a music playlist. | Language: Python | License: GNU Affero General Public License v3.0
DSPy Profile Manager | Language: Python | License: MIT License
DSPy-powered email optimization for startup founders: drop in your 3 best emails, get optimized outreach for new leads | Language: Python
Official Documentation for DSPy Library | Language: Python
LLM-driven automated knowledge graph construction from text using DSPy and Neo4j | Language: Python
Exploration using DSPy to optimize modules to maximize performance on the OpenToM dataset | Language: Python
SuperOptiX: GEPA DSPy Optimizer hands-on demo - User DSPy GEPA in SuperOptiX - Use with local llama and Owen models ... | Channel: Superagentic AI
GEPA + DSPy + SuperOptiX : Quick Demo. | Channel: Superagentic AI
Tired of wrangling brittle prompt strings and endless trial-and-error with LLMs? DSPy is here to change everything! This isn't ... | Channel:...