Open-Source vs. proprietary LLMs: The battle for innovation and accessibility

Large language models (LLMs) are constantly developing technology primarily concerned with artificial intelligence and natural language processing. Controversy has been focused on the competition between open-source and proprietary degrees in LLMs: innovation and accessibility. Popular open-source models demand democratizing information processing, enabling the general public to access and develop elaborate AI systems. While the first model is built in the common interest, being open to the public, the second model has commercial interests in mind to achieve business advantage points, and models may be limited. This article draws to acquire insights into the principal differences between both approaches regarding technological advancement, ethical aspects, and industry and societal influence. Therefore, the research intends to examine the different motives behind LLM approaches and their outcomes on how the two approaches advance innovation, its accessibility and the future advancement of artificial intelligence.