About Gleb
Gleb is a Cloud Advocate at Google who specializes in Cloud Database technologies in the Google Cloud. He has over 20 years of experience in data-related technologies, and has expertise in a variety of areas, including relational databases, Big Data, application development, data replication and integration solutions, including products from Google, Oracle, AWS, Cloudera, and other vendors. He has been honored to be a presenter at various conferences in the USA, Europe, and APAC for many years.
Session
RAG vs AI model tuning vs long context window and when to use each
Room 2 (16:00 ~ 16:45)
We will go through several topics during the presentation. Most of the topics will be discussed on a high level with some code samples. I will share my experience working with some cases using model training, tests and POC with a long context window and RAG.
Here are the main subjects covered in the talk:
* Introduction and basics about foundation LLMs
* Fine tuning for foundation LLMs
* Long context window, tokens and difference between structured and non-structured information
* RAG workflow, difference in performance and comparison with long context window
* Mixed approach including different techniques
This presentation is designed for both newcomers to AI and those with experience in AI projects or applications.