Llama-3, an open-source large language model, currently holds the top position among its peers and is being used by many companies for their business-specific tasks due to its customization and confidentiality needs. However, building customized domain-specific models can be complex and challenging for developers, requiring a deep MLOps skillset and resulting in delays for go-to-market and impacting developer productivity. MonsterGPT, the "world's first finetuning and deployment agent," aims to address this issue by providing an AI model finetuning and deployment platform that allows users to deploy or fine-tune Llama-3 models without writing code or setting up complex GPU infra pipelines, using advanced technologies such as Flash Attention 2, LoRA/QLoRA, Auto Batch Size, Low Cost GPU Cloud, Dataset Validation API, and vLLM for high-throughput serving of large language models. With MonsterGPT, users can simply chat within ChatGPT to explain their task and suggest using Llama-3 as the preferred model, and witness what feels like magic unfolding. The platform offers a comprehensive and powerful solution for developers and researchers working with open-source models, allowing them to launch finetuning jobs on custom datasets within minutes from ChatGPT by just regular chatting.