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LLMs are powerful, but the way we use them is evolving. In this episode of 'Technically Speaking', our teammate Ben explores ... | Channel: Source...
Is DSPy just another prompt optimization tool? According to Prashanth Rao from Kuzu, that's only part of the story. In this clip, he ... | Channel:...
🐙 Meta-AI Orchestrator unifies multiple LLMs with dynamic routing, RAG search, and DAG pipelines for enterprise AI workloads across providers, with...
openrag = ollama + dspy + chroma | Language: Python
"Human in the Loop" as a dspy.Tool | Language: Python | License: MIT License
Qdrant powered retriever module for DSPy | Language: Python | License: Apache License 2.0
Language: Python | License: MIT License
Digital Signal Processing tools for Python | Language: Python | License: MIT License
Running DSPy examples with llama3 | Language: Python | License: Apache License 2.0
Language: Python | License: MIT License
Basic chat app with memory using DSPy and Streamlit UI. | Language: Python | License: MIT License
Making use of dspy to optimize an LLM judge | Language: Jupyter Notebook | License: MIT License
Learn about MLOps, how to build an online community, and tools for scaling LLMs as Demetrios Brinkmann joins ... | Channel: Super Data Science: ML &...
Welcome to our in-depth exploration of DSPY, a groundbreaking technology developed by Stanford NLP University designed to ... | Channel: Mervin...
Unlock the full potential of AI with PydanticAI and DSPy! Learn how to build smarter, scalable agents using: ✔️ Dynamic ... | Channel: Sean Chatman...
Catch Krista Opsahl-Ong from Stanford University, the lead author of MIPRO (Multi-prompt Instruction Proposal Optimizer) and a ... | Channel:...