Tarun Jain
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.
Sessions
Large Language models are all over the place, driving the advancement of AI in today's era. For enterprises and businesses, integrating LLM with custom data sources is crucial to provide more contextual understanding and reduce hallucinations. In my talk, I'll emphasize on building an effective RAG pipeline for production using Open Source LLMs. In simple words, Retrieval Augmented Generation involves retrieving relevant documents as context for user queries and leveraging LLMs to generate more accurate responses.
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.