Understand DSPy: Programming AI Pipelines Published 2024-05-07 Download video MP4 360p Recommendations 30:50 New Discovery: Retrieval Heads for Long Context 46:27 Agentic AI: The Future is here? 25:38 SBTB23: Omar Khattab, DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines 19:55 Prompting Your AI Agents Just Got 5X Easier... 48:46 Joscha at Microsoft 31:54 Getting Started with RAG in DSPy! 27:23 New Trick for Fine-Tuning LLMs #airesearch 54:09 AI Expert: Here’s how AI Agents 10x my productivity 1:09:14 Mapping GPT revealed something strange... 25:21 Mixture of Models (MoM) - SHOCKING Results on Hard LLM Problems! 19:35 DsPy crash course - optimize your LLM pipelines with DsPy (Part 1) 1:15:31 Thomas Dietterich, "What’s Wrong with Large Language Models, and What We Should Be Building Instead" 1:05:40 DSPy: Transforming Language Model Calls into Smart Pipelines // Omar Khattab // MLOps Podcast #194 25:20 Simple Introduction to Large Language Models (LLMs) 1:08:24 Adding Depth to DSPy Programs 1:16:21 Stanford CS25: V4 I Aligning Open Language Models 12:02 Intro to DSPy: Goodbye Prompting, Hello Programming! 28:54 Structured Outputs with DSPy 28:12 New Summarization via In Context Learning with a New Class of Models Similar videos 54:16 DSPy Explained! 10:21 A brief overview of Stanford's DSPy - explained simply 53:22 DSPy explained: No more LangChain PROMPT Templates 02:54 DSPy - Programming with LLMs 26:44 AI DSP: LLM Pipeline to Retriever Model (Stanford) 16:30 DSPy — Does It Live Up To The Hype? 57:16 LlamaIndex Webinar: Learn about DSPy 28:21 [한글자막] Understand DSPy： Programming AI Pipelines 57:16 DSPy: New Machine Learning Paradigm (No Prompt Engineering Required) 57:55 Optimization of LLM Systems with DSPy and LangChain/LangSmith 13:20 Programming Foundation Models with DSPy / Multivector Semantic Search with ColBERT - Omar Khattab More results