GPT-3 and similar large models are receiving a high amount of attention across industries. Almost weekly new ways to use those models are unveiled.
From generating creative text, doing translations, correcting grammar, answering questions, classifying content, and in some cases being even tools to transform natural language into code in a variety of development languages, it is not a question if those models will be used, but how much they will change the way we work.
In this session a few of those models will be discussed with a focus of showcasing what you can use them for.
Since this field is innovating frequently, the precise models being featured are subject to change but will at least have the capabilities of OpenAI's GPT-3 series (text-davinci--2).
OpenAI Codex and GitHub CoPilot assisting with writing code will also be demonstrated.
This session will feature a high number of demos. Finally, the session will cover the issue of some of the risks such as biases that are present in those models.
You will learn:
- The type and scale of the new generation of large AI models
- What large AI models can accomplish
- About the specific relevant use cases and so-called "prompt engineering"
ChatGPT, GPT-4, and similar large models are receiving a high amount of attention across industries. Almost weekly new ways to use those models are unveiled and integration in different products and services announced.
This ranges from generating creative text, doing translations, correcting grammar, answering questions, classifying content, and in some cases being even tools to transform natural language into code in a variety of development languages. It is not a question if those models will be used, but how much they will change the way we work.
In this session, a few of those models will be discussed with a focus of showcasing what you can use them for.
Since this field is innovating frequently, the precise models being featured are subject to change but will at least have the capabilities of OpenAI's ChatGPT and cover GPT-4 to the degree it is available.
OpenAI Codex and GitHub CoPilot will also be demonstrated with their ability to assist in writing code.
This session will feature a high number of demos.
Finally, the session will cover the issue of some of the risks such as biases that are present in those models.
You will learn:
- The type and scale of the new generation of large AI models
- What large AI models can accomplish
- About specific relevant use cases and so-called "prompt engineering"