📝 Guest Post: How to Customize Auto-GPT for Your Unique Use Case: A Comprehensive Guide*
In November of 2022, ChatGPT, the chatbot interface powered by GPT, introduced large language models (LLMs) into mainstream media. Since then, numerous GPT apps have popped up. One of the most popular ones?
An open-source GPT-based app that aims to make GPT completely autonomous. In a short few weeks, it has accumulated over 120k stars on GitHub, eclipsing PyTorch, Scikit-Learn, HuggingFace Transformers, and any other open-source AI/ML library you can think of.
What makes Auto-GPT such a popular project? First, it shows promise in delivering on the self-described vision of autonomous GPT. Auto-GPT has “agents” built in to search the web, speak, keep track of conversations, and more. People have used it to order pizza, code apps, and sell merch. Now it’s your turn to learn how to leverage Auto-GPT to supercharge your workflow and automate away mundane tasks.
AI has been hot recently. ChatGPT is reported to be the fastest-growing app of all time, reaching over 1 billion visitors monthly as of February 2023. LLMs have been heralded as the coming of Artificial General Intelligence (AGI), the future of software, and the technological breakthrough that will lead humanity to enlightenment or destruction. However, LLMs have one glaring flaw. They cannot act on their own. They require someone to repeatedly prompt them from task to task.
