LinkedInLearning/structuring-language-model-interactions-with-apis-and-dspy-4022647
this repo is for linkedin learning course: Structuring Language Model Interactions with APIs and DSPy | Language: Jupyter Notebook | License: Other
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this repo is for linkedin learning course: Structuring Language Model Interactions with APIs and DSPy | Language: Jupyter Notebook | License: Other
AI agents implementation to demostrate agentic programming frameworks and concepts like DSPy, MCP, etc. | Language: Python | License: MIT License
DSPy Profile Manager | Language: Python | License: MIT License
Using DSPy and LLM's to translate Sanskrit verses | Language: Python
An introduction to DSPy | Language: Jupyter Notebook | License: MIT License
Language: Python | License: MIT License
MCP server for enhancing knowledge base search and retrieval | Language: Python
just UI to explain product manager what dspy program does | Language: Python
Using Python and DSpy’s Recursive Language Model implementation to handle unbounded context lengths. | Language: Python | License: MIT License
An AI agents framework addressing the two core challenges with real world agents - Optimisation and Deployement | License: MIT License
A comprehensive demonstration project for DSPy, showcasing various advanced features and patterns for programming foundation models. | Language:...
A multi-agent system built with DSPy that coordinates research and writing agents to produce comprehensive articles on any topic. | Language: Python...
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
Language: Python | License: MIT License
Sentiment analysis of DynaSent and SST reviews using ELECTRA and GPT collaboration | Language: Jupyter Notebook | License: GNU General Public License...
In this tutorial, I'll show you how to disable dspy cache. | Channel: datmt
DSPy-powered email optimization for startup founders: drop in your 3 best emails, get optimized outreach for new leads | Language: Python