THE FUTURE OF LLM-BASED AGENTS: MAKING THE BOXES BIGGER

Summary from the TLDR AI newsletter

This post shares two critical approaches that help take Agents out of the playground and into the real world: long-term planning and system-level robustness. These introduce capabilities to develop higher-order plans for Agents while allowing mid-episode adaptation as well as systems approaches to intelligent orchestration of the models that provide higher accuracy and performance.