ChatGPT has captivated the world with its incredible abilities. However, the success of a conversation with OpenAI's phenom partly depends on users' inputs. What if we get rid of that? Well, then we get Auto-GPT, the chatbot that can operate independently and generate its own prompts. This experimental chatbot is an attempt at showing what GPT-4 can really do.

Let's begin with what Auto-GPT is. It is a chatbot that recently appeared on GitHub. According to the chatbot's GitHub page, a developer named 'Significant Gravitas' (@SigGravita) is behind Auto-GPT. The chatbot is a Python application. Unlike ChatGPT, which requires multiple prompts, Auto-GPT functions independently. It "chains together LLM 'thoughts', to autonomously achieve whatever goal you set," reads the GitHub page.

In the GitHub page of Auto-GPT, we can see a rudimentary example of how the chatbot works. The chatbot was given the task to find and generate unique recipes for an upcoming event. The second goal was to save the recipe to the computer. The chatbot did all the tasks without any user intervention.

In the example provided on GitHub, we can see the chatbot's ability to break down actions into thoughts, reasoning, and criticism. When it was asked to find a unique recipe for an upcoming event, the first thing it did was to find an event. Why? Because then it can come up with a relevant recipe. It can also analyze potential limitations and constraints.

Auto-GPT is far from a finished product, but it is not short of features. The chatbot can connect to the internet to search and gather information. It has the ability to access short-term and long-term memory. It has access to GPT-4 instances for text generation. It also has text-to-speech capabilities, courtesy of ElevenLabs. The chatbot's features make it more human-like.