The artificial intelligence landscape is experiencing a significant shift as major companies like Microsoft and Salesforce begin to develop small language models (SLMs) in response to the limitations and costs associated with large language models (LLMs). While LLMs, such as Llama 2, excel in tasks like text generation and code completion, they require extensive computational resources for pre-training. The emerging small language models are seen as a strategic opportunity, offering cost-effective and efficient alternatives that could democratize generative AI technology for enterprises. Industry experts are highlighting the potential benefits of SLMs, including faster processing and sustainability, as the conversation around AI continues to evolve amid ongoing concerns about bias and ethical use.