Hugging Face Open-Source Infrastructure & LlamaIndex Retrieval Augmented Generation: End-to-End Workshop Date & Time: Saturday, 28th Sep, 2:00 PM - Sunday, 29th Sep, 4:00 PM (GST) Event Description: Dive into the world of AI with this two-day, hands-on workshop designed to give you a deep understanding of Hugging Face's open-source infrastructure and LlamaIndex's Retrieval Augmented Generation (RAG) capabilities. As part of the AI Residency Program, this workshop will equip you with the knowledge and skills to build robust AI solutions using these advanced tools. Day 1: Understanding Hugging Face Open-Source Infrastructure Explore Hugging Face, the leading platform for building, training, and deploying state-of-the-art machine learning models. You'll learn how to: Navigate Hugging Face’s open-source ecosystem. Fine-tune and deploy transformers for various NLP tasks. Leverage Hugging Face’s infrastructure to accelerate your AI projects. Day 2: LlamaIndex for Retrieval Augmented Generation (RAG) In the second part of the workshop, you will dive into LlamaIndex, focusing on Retrieval-Augmented Generation. You will learn to: Implement LlamaIndex to retrieve and process relevant information. Combine retrieval and generation techniques to enhance data-driven AI applications. Build an end-to-end RAG project, integrating LlamaIndex for efficient information retrieval. Key Takeaways: Hands-on experience with Hugging Face and LlamaIndex. Develop an end-to-end project incorporating open-source NLP models and retrieval-based AI. Deep dive into the technical infrastructure and tools needed to build advanced AI applications. Who Should Attend: Data Scientists Machine Learning Engineers NLP Enthusiasts AI Developers Anyone looking to deepen their understanding of AI infrastructure and RAG systems. Workshop Details: Date: Saturday, 28th Sep - Sunday, 29th Sep Time: 2:00 PM - 4:00 PM GST (on both days) Location: Online This workshop is part of the AI Residency Program. To learn more about the program and other related opportunities, visit https://academy.decodingdatascience.com/airesidencyfasttrack