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This video is for those that want to learn DSPy but want a GENTLE introduction. | Channel: Learn By Building AI
DSPy is a new framework for developing LLM programs. It chains LLM calls to build robust systems, where the output of one LLM ... | Channel: Qdrant...
Getting started with Dspy can be difficult because we often don't see great performance out of the box without using an optimizer. | Channel: Skylar...
The main idea of DsPy is to optimize not just your LLM model but the end-to-end pipeline. This video walks through a simple ... | Channel: AI Bites
In October 2023, researchers working in Databricks co-founder Matei Zaharia's Stanford research lab released DSPy, a library for ... | Channel:...
DSPy forces you to think about your problem in very simple terms. #learnai #genai #training #shorts It might be worthwhile to take ... | Channel: AI...
Ready to build smarter, self-improving AI agents? In this tutorial, we'll show you how to create adaptive AI systems using ... | Channel: Relevance AI
The most interesting LLM applications are less a single LLM call and more a complex system that relies on multiple LLM calls. | Channel: LangChain
Hey everyone! Thank you so much for watching this tutorial on getting started with RAG programming in DSPy! This video will take ... | Channel:...
We delve into practical applications and examples of Stanford DSPy, a programming model designed to enhance the ... | Channel: Databricks
llm #chatgpt #ai #python #automation #rag #technology #datascience DSPy is a framework developed by Stanford University that ... | Channel: Gao Dalie...
DSPy prompt optimization DSPy is a framework that nudges you towards machine learning like attitude for LLM prompting. To see ... | Channel: Hacking...
DSPy is a framework for authoring GenAI applications with automatic prompt optimization, while MLflow provides powerful MLOps ... | Channel:...
In the insurance industry, LLMs promise efficiency but often get bogged down by manual tuning for optimal performance. DSPy ... | Channel: AI Engineer
DSPy is a new LMP framework created by Stanford University researchers. Full Details: https://github.com/stanfordnlp/dspy ... | Channel: IVIAI Plus
Our teammate Ben brings you DSPy: Part 2 in this episode of 'Technically Speaking'! Learn about ReAct, an agent that allows ... | Channel: Source...
Latest Tech insights for multi-agent AI by Google. Utilizing DSPy and Topology optimization techniques for an improved ... | Channel: Discover AI
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference DSPy: Prompt Optimization for LM Programs Michael Ryan, Stanford It ... | Channel:...
Sharing a quick story on how one of our customers is using DSPy and Langtrace for automating the development of patient ... | Channel: Langtrace
Boris discussed the challenges of traditional prompt engineering in LLM application development. He highlighted the ... | Channel: Data Science...