Integrating Knowledge and Generation: An Introduction to RAG | A UPenn Lecture Sponsored by Turing

​​​You are invited to join a special virtual stream of Prof. Mayur Naik’s CIS 7000 course on Large Language Models at the University of Pennsylvania, sponsored by Turing.

​Speaker: Ram Sriharsha, CTO, Pinecone

​Abstract: Large Language Models have emerged into mainstream over the last few years. While they have demonstrated some huge successes already, they have also had challenges with hallucinations, difficulty with dealing with new knowledge and in retrieving relevant, accurate knowledge for downstream tasks. In this talk, we will provide a brief overview of the problem, and discuss a promising approach to solving these problems through what is known as Retrieval Augmented Generation (RAG). Alongside, we will also introduce vector databases, what makes them different from traditional databases and how they fit into RAG.

​Bio: Dr. Ram Sriharsha is the CTO at Pinecone. At Pinecone, Ram is responsible for overseeing the company’s technical direction in both engineering and research. Prior to joining Pinecone, Ram held numerous senior positions at some of the most well-known companies in the tech industry. Most recently, he was Vice President of Engineering at Splunk. Before that, he was a product and engineering lead at Databricks for their unified analytics platform for genomics. Some years after receiving a PhD in Physics from the University of Maryland, Ram was a Principal Software Engineer and later a Principal Research Scientist at Yahoo.

​​​Learn more about the course at CIS 7000 - Large Language Models.