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curso de data science en python | Language: Jupyter Notebook
DSPy signatures are structured text that are then compiled into high quality system prompts Links: ... | Channel: Joe Maddalone
DSPEx - Declarative Self-improving Elixir | A BEAM-Native AI Program Optimization Framework | Language: Elixir | License: MIT License
State-of-the-art prompting techniques implementation with DSpy - Manager-style prompts, role personas, meta-prompting, and more | Language: Python |...
DSPy program/pipeline inspector widget for Jupyter/VSCode Notebooks. | Language: Python | License: GNU General Public License v3.0
Create comprehensive DSPy guide | Language: Python | License: MIT License
Hey everyone! Thanks so much for watching the recording of our DSPy Boston event! Huge thank you to everyone who attended, ... | Channel: Weaviate...
Transform your LLM development from chaotic prompt strings to production-ready, self-optimizing pipelines. In this Dagster Deep ... | Channel: Dagster
DSPy Retrieval-Enhanced Fine-Grained Retrieval Augmented Generation (REFRAG) framework, for an improved RAG in DSPy. This is originally developed by...
Join the Free Agentic AI Career Webinar ... | Channel: Interview Kickstart US
Building a Chain of Thought RAG Model with DSPy, Qdrant and Ollama | Language: Jupyter Notebook | License: Apache License 2.0
A local, offline-first AI agent built with DSPy, LangGraph, and Phi-3.5. Combines RAG and SQL to answer retail business questions. | Language: Python
Developed by researchers at Argonne National Laboratory, AISAC (AI Scientific Assistant Core) is a specialized multi-agent framework designed to...
🤖 Simplify multi-turn conversations with CodexAgent, a DSPy module for OpenAI Codex, offering stateful threads and rich, typed outputs. | Language:...