DSPy + Context Engineering - the fully hands-on Basics to Pro course!

Neural Breakdown with AVB · Beginner ·🧠 Large Language Models ·8mo ago
This comprehensive guide to Context Engineering shows how to build powerful and reliable applications with Large Language Models (LLMs). I'll cover everything from atomic prompts and then use DSPy to build complex LLM systems. This includes RAG, tool calling, and multi-agent systems. Get 25% off on Ninjachat. Access multiple frontier LLMs, image, video, audio generation models all in one place. Use this link: https://ninjachat.ai/?ref=avishek and the code AI25 to get 25% off! In this deep dive, we explore the art and science of structuring context to get the best performance from your LLMs.…
Watch on YouTube ↗ (saves to browser)

Chapters (3)

Intro
4:27 Chapter 1: Prompt Engineering
19:26 Chapter 2: Multi Agent Prompt
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Next Up
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)