Optimization of LLM Systems with DSPy and LangChain/LangSmith Published 2024-04-06 Download video MP4 360p Recommendations 34:42 Complete DSPy Tutorial - Master LLM Prompt Programming in 8 amazing examples! 41:25 NEW TextGrad by Stanford: Better than DSPy 54:16 DSPy Explained! 15:05 How to build chat with your data using Pinecone, LangChain and OpenAI 31:26 DSPy and ColBERT with Omar Khattab! - Weaviate Podcast #85 24:26 Building a self-corrective coding assistant from scratch 1:01:23 DSPy: Advanced Prompt Engineering? 17:55 Pydantic is all you need: Jason Liu 28:21 Understand DSPy: Programming AI Pipelines 57:16 Cognitive Architectures for Language Agents 33:49 I wish every AI Engineer could watch this. 42:52 Beyond the Hype: A Realistic Look at Large Language Models • Jodie Burchell • GOTO 2024 32:26 LangGraph 101: it's better than LangChain 23:47 AI Pioneer Shows The Power of AI AGENTS - "The Future Is Agentic" 22:17 Building and Testing Reliable Agents 1:05:40 DSPy: Transforming Language Model Calls into Smart Pipelines // Omar Khattab // MLOps Podcast #194 24:02 "I want Llama3 to perform 10x with my private knowledge" - Local Agentic RAG w/ llama3 34:34 Getting started with DSPy tutorial Similar videos 06:36 What is Retrieval-Augmented Generation (RAG)? 12:56 LangSmith From LangChain | Building production-grade LLM Apps 29:11 Developing and Serving RAG-Based LLM Applications in Production 49:07 [Webinar] LLMs for Evaluating LLMs 56:57 AI Engineering 201: The Rest of the Owl 1:00:15 Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI) 41:12 LlamaIndex Workshop: Evaluation-Driven Development (EDD) More results