Large language models, like ChatGPT, are trained on vast amounts of text data, allowing them to generate human-like responses.

Since the release of ChatGPT, we've seen a shift in enterprise interest from how generative AI works to how it can solve specific business problems.

Large language models, like ChatGPT, demonstrate that language can self-generate based on its internal structure, indicating that the principles governing human language generation may be the same as those in these models.

Generative AI and large language models, like ChatGPT, are incredibly powerful technologies that will soon become even more powerful.

The project that led to ChatGPT began as Web GPT, which utilized retrieval to provide information and cite sources, ultimately evolving into ChatGPT due to its unique dialogue capabilities.

Even though many struggled to build businesses with the GPT-3 API, people loved interacting with it, which led us to develop ChatGPT.

By the time ChatGPT 3.5 was released, we identified multiple categories where businesses could thrive using the API, driven by the demand for conversational AI.

I hope future versions of ChatGPT will be tools that enhance our creativity, allowing us to think of ideas we couldn't before and be more creative than we currently are. Using tools like ChatGPT will enhance how we write, similar to how people adapt to any new technology, expanding human possibilities.

The total addressable market for ChatGPT includes any task that requires thought or action that users prefer to delegate to AI, raising concerns about dependency on technology. AI should enhance your expertise in areas of interest and alleviate the burden of mundane tasks.