11-16, 14:40–15:10 (Asia/Hong_Kong), LT9
Language: English
AI Agentic workflows will drive massive AI progress this year. This is what Professor Andrew Ng said about the rise of agents. With the growing popularity of large language models, Agents are what everyone is talking about. In simple terms, Agents can be defined as LLMs with the ability to self-reason and plan, just like humans. In my talk, I will focus on how to build an Autonomous Agentic workflow and the components required. Additionally, I will cover the concepts of planning and reasoning Agentic prompting such as REACT, LATS and so on to motivate the audience to stay updated with the Agentic world.
Problem Statment
Large Language Models (LLMs) like GPT-4 have several limitations that hinder their full potential. They often struggle with maintaining contextual understanding over extended conversations, leading to disjointed or repetitive interactions. Additionally, LLMs can lack accuracy, fail to provide real-time information, self-reasoning to decompose while planning the task. This is where Agents comes.
Unlike traditional LLMs, AI agents are designed to self-reason and plan, mimicking human cognitive processes. They can interact with their environment, make decisions, and take actions autonomously. This capability enables them to overcome some of the contextual and reasoning challenges that LLMs face, making them more suitable for complex, dynamic tasks.
My talk will cover:
- How a simple execution of task is formed by humans?
- Agentic Workflow and the major components required: This includes: Task, Memory, Tools, Agents, LLM and so on.
- Planning and Reasoning: Under this I will cover Chain of thoughts, REACT, LATS prompt techniques, that is used to build Agentic workflow.
- Conclusion
Tarun Jain is a Data Scientist at AI Planet, a Belgium based AI Startup. He is also a renowned speaker and recognised as Google Developer Expert in AI/ML. Furthermore, he has contributed to various Open Source projects and is currently part of Google Summer of Code 2024 at RedHenLab. He is also a content creator at AI with Tarun Youtube channel.