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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...
Channel: Berkeley RDI Center on Decentralization & AI
AI ENGINEER ROADMAP [ learn AI Engineering in 2025 ] β» https://zazencodes.com/ NEWSLETTER [ weekly video email ] ... | Channel: ZazenCodes
Language: Jupyter Notebook | License: Creative Commons Zero v1.0 Universal
oda-r is a professional-grade compiler for Declarative Self-improving Python (DSPy), featuring comprehensive error handling, logging, and...
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