In today's digital era, leveraging language models is crucial for various applications. While large language models (LLMs) like GPT, Claude have gained immense popularity, they come with certain limitations such as high costs and potential security risks. This talk will explore the benefits of developing and fine-tuning Tiny Language Models (TLMs) to achieve optimal results without compromising data security or incurring excessive costs.