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🔍 Must-Know AI Trends in August 2024 - Simplifying AI Workflow with DSPy #shorts

DSPy is a new LMP framework created by Stanford University researchers. Full Details: https://github.com/stanfordnlp/dspy ... | Channel: IVIAI Plus

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DSPy Part 2 | Technically Speaking

Our teammate Ben brings you DSPy: Part 2 in this episode of 'Technically Speaking'! Learn about ReAct, an agent that allows ... | Channel: Source...

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Topology DSPy: Prompting the Swarm (Multi-Agents)

Latest Tech insights for multi-agent AI by Google. Utilizing DSPy and Topology optimization techniques for an improved ... | Channel: Discover AI

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Bay.Area.AI: DSPy: Prompt Optimization for LM Programs, Michael Ryan

ai.bythebay.io Nov 2025, Oakland, full-stack AI conference DSPy: Prompt Optimization for LM Programs Michael Ryan, Stanford It ... | Channel:...

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How Salomatic is using DSPy & Langtrace for automating medical reports with LLMs. #dspy #ai #llm

Sharing a quick story on how one of our customers is using DSPy and Langtrace for automating the development of patient ... | Channel: Langtrace

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DSPy: The End of Prompt Engineering as We Know It | Boris Cergol | DSC EUROPE 24

Boris discussed the challenges of traditional prompt engineering in LLM application development. He highlighted the ... | Channel: Data Science...

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From DSPy to NEW "CoT Encyclopedia" (explain)

Simple task: to improve the intelligence of AI systems beyond given inherent limitations. Improve complex reasoning capabilities ... | Channel:...

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Prompt Engineering is Dead; Build LLM Applications with DSPy Framework

Stop prompt engineering in LangChain. You wouldn't hand-select weights of your neural network, so don't hand-select your ... | Channel: Databricks

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Learn to Program Not Write Prompts with DSPy

Writing prompts for our GenAI applications is long, tedious, and unmaintainable. A proper software development lifecycle requires ... | Channel:...

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DSPy: Prompt Tuning Framework

DSPy simplifies prompt tuning for optimal LLM responses. We fine-tune prompts based on input/output analysis, addressing ... | Channel: Convergence...

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GEPA Explained!

GEPA is a SUPER exciting advancement for DSPy and a new generation of optimization algorithms re-imagined with LLMs! | Channel: Weaviate vector...

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Automated Prompt Engineering with DSPy

Lifetime access to ADVANCED-inference Repo (incl. DSPy scripts in this vid.): https://trelis.com/ADVANCED-inference/ ... | Channel: Trelis Research

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On Engineering AI Systems that Endure The Bitter Lesson - Omar Khattab, DSPy & Databricks

Will discuss the principles for building AI software that underpin DSPy, highlighting the differences between conventional ... | Channel: AI Engineer

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STOP PROMPT ENGINEERING! DSPy is the Future of AI Programming (Build Smarter LLMs FASTER)

Tired of wrangling brittle prompt strings and endless trial-and-error with LLMs? DSPy is here to change everything! This isn't ... | Channel:...

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New course with Databricks! DSPy: Build and Optimize Agentic Apps

Learn more: https://bit.ly/4mIpgcJ As generative AI applications grow more complex, spanning reasoning, retrieval, and tool use, ... | Channel:...

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Accelerate End-to-End Multi-Agents on Databricks and DSPy

A production-ready GenAI application is more than the framework itself. Like ML, you need a unified platform to create an ... | Channel: Databricks

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Automated Prompt Engineering with DSPy | Prompt Optimization for Financial News Semantic Analysis

Learn to use DSPy to automatically optimize your prompts, turning a mediocre baseline into a high-performing pipeline. | Channel: Venelin Valkov

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Stop Prompt Engineering! Program Your LLMs with DSPy

Can algorithmically optimizing prompts outperform prompt engineering? Resources: DSPy Breakdown: ... | Channel: Adam Lucek

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DSPy - going from prompting to programming

DSPy is here and relevant for everyone in Generative AI. DSPy brings a systematic approach to prompting that gives you ... | Channel: Rajistics -...

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Context Engineering: Isaac Miller on Context Engineering with DSPy

Context engineering is rising in popularity because prompting alone isn't enough—we're still figuring out how to build reliable AI ... | Channel:...

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