AI-driven social media content creation

Generative AI models like Language Learning Models (LLMs) can innovate social media content creation. For example, ChatGPT, developed by OpenAI, can leverage its language generating capabilities to pen captivating social media caption text or create engaging blog posts, saving content creators time and effort. LLMs can also assist community managers by auto-generating responses to frequently asked questions or comments, ensuring rapid and consistent engagement with the audience.

In the realm of visual content, AI image generators can revolutionize social media. By providing textual descriptions or inputs, these models can produce intricate and high-quality images for posts or advertising material. An example of this is DALL-E by OpenAI that combines aspects of GPT-3 and a deep learning-based image generator to create entirely new images from textual descriptions, presenting endless possibilities for diverse visual content generation on social media platforms.

This description refers to an exemplary application that can be built using a tool known as Clevis. The application is an AI-driven platform designed for creating engaging and compelling social media content. Of course, it is only one of the numerous applications within diverse realms one can build using Clevis.

The application process commences by soliciting the user to input the topic of their preferred social media content. Subsequent to this, the tool conducts an HTTP request to scout for trending topics or widely read articles encompassing the input topic; this offers a sense of what's currently capturing public interest.

Thereafter, the application invokes ChatGPT, a language model by OpenAI, provisions it with the input topic, and requests ideas and suggestions for social media posts. The generated texts are typically creative and resonate well with the intended audience.

For a suitable accompaniment to the post text, the application utilizes DALL-E, another OpenAI model, to generate an appealing image related to the input topic. Finally, the results are presented to the user: the social media content suggestions from ChatGPT and the eye-catching image from DALL-E.