Session
The Future Beyond LLMs: Exploring Agentic AI
At the recent Vivatech conference, Yan LeCun, Chief AI Scientist at Meta, declared that Generative AI has only five years left to live. He argued that Large Language Models (LLMs) are not the future of artificial intelligence due to their limitations in four key areas: understanding the real world, maintaining persistent memory, reasoning, and planning.
Given this prognosis, let's take a comprehensive look at the budding field of Agentic AI and its future prospects. What exactly are AI Agents, and how do they operate? How do they compare to and interact with LLMs and functionalities such as function calling, chain-of-thought processing, assistants, tools, or actions?
In this talk, we'll delve into the unique features of Agentic AI, including perception, state estimation, goal setting, planning, and action selection & execution. We will define various levels of Agentic AI and form a map to help navigate this emerging landscape. By categorizing current agent-based or agent-related solutions with practical examples, we'll provide an overview of the current state of Agentic AI:
- LLM with Function Calling and Tools (OpenAI's GPT-4 or Gemini), these models will serve as a base reference to illustrate current capabilities and limitations in function calling, tool usage, and action execution.
- Agent Framework like LangGraph, AutoGen or CrewAI.
- LAM Framework like LaVague, designed for developing AI Web Agents and facilitating Web Automation.
Prepare to uncover how today's Large Language Models (LLMs) are being complemented —and perhaps even superseded— by Large Actions Models (LAMs) in the near future.
Agentic AI is a rapidly evolving field with new breakthroughs emerging constantly. My talk aims to bring much-needed clarity to this innovative domain by defining what AI agents and Large Action Models are, and how they compare to existing Large Language Models.
By providing structured insights and real-world examples, I'll help the audience understand the current state and future potential of Agentic AI. I will ensure that my presentation remains up-to-date, incorporating any new breakthroughs that may arise before the event.
Selecting this talk will equip attendees with a clear roadmap to navigate and leverage the next generation of AI technologies.

Raphaël Semeteys
Head of DevRel & Architect at Worldline
Paris, France
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