The year 2024 marked substantial developments in artificial intelligence, characterized by fierce competition among leading tech companies such as OpenAI, Anthropic, and Meta, as well as significant advancements in open-source models. OpenAI faced challenges to its dominance as Anthropic, backed by Google, advanced safer AI systems, and Meta released the open-source Llama 3.1 model, setting new benchmarks in accessibility and performance. This period also saw the rise of alternative models like Qwen and DeepSeek, which redefined benchmarks in various AI tasks. The open-source movement, led by Meta, democratized AI development, empowering smaller companies to compete with industry giants. Despite these advancements, the year highlighted persistent challenges in scaling AI, with companies grappling with integration hurdles and ethical concerns related to AI governance. The emergence of AI agents signaled a new paradigm in AI applications, transitioning from experimental tools to practical solutions for complex tasks. PremAI played a significant role in 2024, contributing to the AI community with innovations like PremSQL and Prem-1B SQL, focusing on local-first deployments to ensure data privacy and performance. As the industry looks towards 2025, there is an emphasis on refining AI safety measures, scaling adoption, and enhancing accessibility, with PremAI poised to continue its influential role in shaping AI's future.