The Gorilla Project is an initiative aiming to enhance how Large Language Models (LLMs) interact with the world by integrating them more effectively with APIs, as presented by PhD student Shishir Patel and his team at UC Berkeley and Microsoft researchers at API Summit 2023. The project seeks to address the limitations of current AI systems, which often rely on static data, by allowing LLMs to interact directly with APIs for real-time, accurate information retrieval, thereby reducing user dependency and AI hallucinations. By using a method called Retrieval Awareness Training (RAT), Gorilla enhances LLMs' ability to select and utilize the correct APIs for given tasks, significantly improving the accuracy and reducing hallucinations compared to other models like GPT 3.5. Despite its promising results and growing user base, the project faces challenges such as handling API failures and maintaining context across interactions, which the developers are actively working to overcome. Ultimately, the Gorilla Project aims to create a more seamless and efficient user experience by allowing LLMs to autonomously select, invoke, and execute APIs, paving the way for future advancements in AI technology.