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The DSPy OSS team at Databricks and beyond is excited to present DSPy 3.0, targeted for release close to DAIS 2025. We will ... | Channel: Databricks
Welcome to my latest video where I show you the future of AI agent development! In this quick demo, I'll take a quick look at how ... | Channel:...
This comprehensive guide to Context Engineering shows how to build powerful and reliable applications with Large Language ... | Channel: Neural...
Complete introduction to the simplest, most efficient, and yet most powerful way I've found to create AI agents, AI workflows, and AI ... | Channel:...
In this video, I am going to explain DSPy in simple words with a simple example. If, by end of the video, you are still unable to ... | Channel: Fahd...
In this video, we talk about Stanford NLP's DSPy - a new LLM Programming framework that helps with prompting, bootstrapping, ... | Channel: Neural...
Large Language Models (LLMs) excel at understanding messy, real-world data, but integrating them into production systems ... | Channel: Databricks
Hey everyone! Thank you so much for watching this explanation of DSPy! DSPy is a super exciting new framework for developing ... | Channel: Connor...
Hey everyone! Thanks so much for watching this video exploring DSPy's GEPA optimizer to train a Listwise Reranker! Here is the ... | Channel:...
How to code an automatic prompt optimizer. How the most advanced prompt optimization tool, DSPy, works and how to fully ... | Channel: Maxime Rivest
Join the AI Evals Course starting March 16, 2026: https://maven.com/parlance-labs/evals?promoCode=tf-yt-c4 . Shreya Shankar ... | Channel: Hamel...
🚀 Advanced Agentic AI system built with DSPy ReAct, 🔍 Tavily Web Search, and 📊 MLflow tracing, enabling 🧠 tool-using LLM agents with , ⚙️...
Context: Think of DSPy as PyTorch for language models: you define the architecture, and DSPy optimizes the prompts and weights for you. | Language:...
🛠️ Build, audit, and optimize RAG systems efficiently with professional skills for Claude Code. Streamline your data pipelines with ease. | License:...
Comparative NER study: Regex vs spaCy vs DSPy LLM. Measures precision, recall, F1, cost, and latency across synthetically generated records with...
Procedural memory + REPL context for DSPy 3.0 autonomous agents | Language: Python | License: MIT License
A naive attempt at generating better prompts for opencode using DSPy | Language: Python | License: Other
This Repository gives an Introduction to Dspy. The repo has all examples that explains the importance of using Dspy in regular projects when...
DSPy Forge: A visual tool for building and deploying compound agent programs using DSPy. | Language: Python | License: MIT License