DSPy Programming, Not Prompting
Sources: https://dspy.ai/ Everything is made by AI. | Channel: Kerstin Dallinger
Please wait while we find the best results for you.
Analyzing content and applying filters...
Sources: https://dspy.ai/ Everything is made by AI. | Channel: Kerstin Dallinger
Is Prompt Engineering really the best way to build robust applications? Well, DSPy is here to challenge that. Let's look at a ... | Channel:...
Recorded at PyCon DE & PyData 2025, April 23, 2025 https://2025.pycon.de/program/F7RDPT/ A comprehensive framework ... | Channel: PyData
DSPy Forge: A powerful tool for building and deploying multi-step agent programs on Databricks using DSPy. | Language: Python | License: MIT License
Structured Prompting Enables More Robust Evaluation of Language Models | Language: Python | License: MIT License
Hear from the CTO of Algorithma on his view of DSPy.
In this video, we're going to dive Deep into DSPy Prompts, how to use them, how to debug them. Subscribe for many more to ... | Channel: Learn By...
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:...
A multi-agent system built with DSPy that coordinates research and writing agents to produce comprehensive articles on any topic. | Language: Python...
3ds port of micropython with an on screen keyboard, IDE soon(tm) | Language: C++ | 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:...
Speaker : Mike Taylor author of book "Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs" Event: ... | Channel: London...
AI ENGINEER ROADMAP [ USE CODE ZAZEN30 FOR 30% DISCOUNT ] ... | Channel: ZazenCodes
Join the Free Agentic AI Career Webinar ... | Channel: Interview Kickstart US
EVMOS blockchain Dapp that utilizes on-chain data to model potential price fluctuations in real-time from covalent api. | Language: Jupyter Notebook