MAGIC of DSPY 3 (Stanford) - Lean 4
What is the magic of DSPY? Should I learn DSPY now? Is it MCP compatible? How to integrate agents into DSPY? What the *** is ... | Channel: Discover...
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What is the magic of DSPY? Should I learn DSPY now? Is it MCP compatible? How to integrate agents into DSPY? What the *** is ... | Channel: Discover...
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...
Channel: Berkeley RDI Center on Decentralization & AI
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 Jan 27, 2026: https://maven.com/parlance-labs/evals?promoCode=tf-yt-c4 . Shreya Shankar ... | Channel: Hamel Husain
Agent Learning via Early Experience - Bootstrap agent training without reward signals using DSPy | Language: Python
HELM Benchmark Optimization with DSPy | Language: Python | License: MIT License
Materials for DSPy Workshop - PyCon Ireland 2025 | Language: Jupyter Notebook | License: Apache License 2.0
AI assitant simplifying Swiss law access using Apertus- winner of "Best Usage of Apertus" at Swiss AI Weeks 2025 (CHF 10,000) | Language: TypeScript...
DSPy adapter for Snakepit - high-performance DSPy integration with pooling and direct interfaces | Language: Python | License: MIT License