Generative AI, Large Language Models, Prompt Engineering, Reinforcement Learning, and Human Feedback
In this session, I will introduce you to practical data science in the AWS cloud by demonstrating Amazon CodeWhisperer to generate Python code. I will also demonstrate recent innovations in natural language processing (NLP) including generative AI models such as GPT3, BLOOM, ChatGPT, and ChatGPT’s relatively-unknown sibling, InstructGPT. Last, I will discuss reinforcement learning for human feedback (RLHF) techniques to align these NLP models with human intentions.
Chris Fregly is a Principal Solution Architect for AI and machine learning at Amazon Web Services (AWS) based in San Francisco, California. He is co-author of the O'Reilly Book, "Data Science on AWS." Chris is also the founder of the global meetup series titled, "Data Science on AWS." He regularly speaks at AI and Machine Learning conferences across the world including O’Reilly AI, Open Data Science Conference (ODSC), Big Data London, Big Data Spain, and Nvidia GPU Technology Conference (GTC).
In this session, I will introduce you to practical data science in the AWS cloud by demonstrating Amazon CodeWhisperer to generate Python code. I will also demonstrate recent innovations in natural language processing (NLP) including generative AI models such as GPT3, BLOOM, ChatGPT, and ChatGPT’s relatively-unknown sibling, InstructGPT. Last, I will discuss reinforcement learning for human feedback (RLHF) techniques to align these NLP models with human intentions.
Chris Fregly is a Principal Solution Architect for AI and machine learning at Amazon Web Services (AWS) based in San Francisco, California. He is co-author of the O’Reilly Book, “Data Science on AWS.” Chris is also the founder of the global meetup series titled, “Data Science on AWS.” He regularly speaks at AI and Machine Learning conferences across the world including O’Reilly AI, Open Data Science Conference (ODSC), Big Data London, Big Data Spain, and Nvidia GPU Technology Conference (GTC).
