In recent months, Retrieval Augmented Generation or RAG became a central concept in the LLM apps development. Developers are using RAG to reduce hallucinations by grounding LLM output and adding context that wasn’t captured in the LLM training data.
Join us for an immersive, two-day RAG Developer Bootcamp, an essential event for developers who want to learn how to successfully develop and deploy RAG applications. Learn about and build:
Latest Knowledge and Practices: Gain insights into the latest advancements and trends in RAG systems.
Networking Opportunities: Connect with industry leaders, innovators, and peers.
Hands-On Experience: Apply your learning in with guided practical sessions.
Hands-on RAG Training
Training Day is an intensive, hands-on session led by experts from Anyscale and Pinecone. The RAG training begins with an overview of RAG, introducing its key components. Participants will understand the rationale behind the RAG pattern and its significance in reducing hallucinations in large language models (LLMs). Utilizing Pinecone Canopy, you will start developing with RAG promptly.
Following this, the focus shifts to scalability issues, particularly those related to data pipelines and the generation of embeddings.
Subsequently, the session will cover selected evaluation techniques designed to enhance the quality of RAG applications.
Participants will gain access to a preconfigured compute platform as well as all the training resources.