LLM-based agents, a concept that emerged from the capabilities of LLMs, represent a paradigm shift from mere automation to genuine intelligence. Agents, in the context of artificial intelligence, are autonomous entities that interact with their environment to execute specific tasks. The advances in generative models have led to AI systems that elevate the capabilities of LLMs to continuously make new decisions and take action autonomously.
Join us for this GTC session, where Quantiphi will delve into the conceptual framework of these LLM-based agents and their implementation in practical scenarios. Learn how LLMs are well-suited to serve as the brain or controller of these AI agents with the potential to tackle complex tasks through tools utilization. Explore real-world examples showcasing the capabilities of LLM-based agents in action using the NVIDIA NeMo framework.