monsterAPI is a new technology platform designed to make large language models (LLMs) accessible to everyone. Its unique feature lies in its ability to fine-tune LLMs without the need for programming knowledge. Large language models are powerful AI systems capable of mimicking human tasks like writing, summarising, and translating, among others. To optimise these models and make them more accurate, they need to be fine-tuned using a custom dataset - a process that traditionally requires a particular set of coding skills. The creators of MonsterAPI have introduced a solution that revolutionises this process. The platform allows users to choose from a plethora of open-source models and provides a simple interface that guides users through the fine-tuning process. The platform is characterised by a decentralised GPU platform that enhances speed and reduces cost. It offers newfound flexibility in model training, benefitting users who have diverse budgets. Flash Attention 2, a new feature, optimises the training procedure by using an innovative attention mechanism that reduces the complexity of the models. The feedback from users of MonsterAPI has primarily been positive, with users appropriating it for a host of purposes such as content creation, summary generation and chatbot building. MonsterAPI aspires to democratize access to LLMs and make them more affordable and user-friendly. The goal is to render these sophisticated tools useful for everyone, not just those with technical expertise.