Virtual debate partner and argument analysis

Generative AI models like LLMs (large language models) could be used as a virtual debate partner, generating convincing arguments based on the vast amount of information they have ingested during training. An example is OpenAI’s GPT-3 which, given a proposition, can create a rational and persuasive argument, utilizing relevant facts and logical frameworks.

These models can similarly be used for argument analysis. For instance, by processing the written script of a debate, they could identify the most robust or weakest points made by each side and offer insights into the logic and structure of their arguments. Furthermore, they could be used to fact-check the arguments based on the existing knowledge base included in their training data.

Image generators like DALL-E can also enhance these discussions by creating relevant visual aids or simplifying complex ideas into illustrative images, enhancing the clarity of arguments.

This is an example application built using Clevis, exhibiting the functionality and diversity of applications you can design within the realm of chat interfaces. At its core, this app - named 'Virtual debate partner and argument analysis' - delivers a platform where users can engage in debates with AI and analyze arguments.

The application workflow unfolds in a series of steps. The initial step requires user input, wherein the user identifies the debate topic. Once the topic is declared, Clevis leverages the powerful capabilities of ChatGPT from OpenAI to provide an initial argument relevant to that particular topic.

The interaction with ChatGPT doesn't stop here. The tool continues the conversation by having ChatGPT respond to the user's arguments astutely, thereby maintaining the interactive essence of a debate.

The subsequent step involves leveraging the ChatGPT model once again to introduce counter-arguments. Ensuring that the debate not only evaluates the user's argumentative prowess but also prompts them to think more critically about their stance.

The entire discourse, i.e., the debate transcript along with a meticulous analysis of the arguments, is then displayed to the user. This feature serves as a comprehensive feedback mechanism, providing insightful learnings to the user.

All this highlights the extent to which you can customize and build dynamic, engaging apps with Clevis.