Augmenting LLMs: Challenges and Opportunities. Prompt Engineering: The First Line of Optimization Fine-Tuning: Proceed with Caution Retrieval-Augmented Generation (RAG): Enhancing Model Utility Agenti

Source: https://x.com/laurenmhreeder/status/2051351487515902247?s=20 A bunch of sessions. 5 to 10 sessions at the same time. Each session has a bunch of Agents. A few hundred Agents going. A few ways

We launched Custom Agents in beta back in February. In two months, you’ve created more than a million Custom Agents. What surprised us most was how quickly teams went from experimenting with their fir

@earendil-works/pi-agent-core Stateful agent with tool execution and event streaming. Built on @earendil-works/pi-ai. Installation npm install @earendil-works/pi-agent-core Quick Start import { Agent