The development of Generative AI and large-language-models (LLMs) is expected to undergo significant breakthroughs in the next 3 years, further increasing their accuracy, informativeness, efficiency, and effectiveness. Six key technologies are anticipated to mature during this period, including LLMs' information grounding and referencing, efficient connection to tools, context/input enlargement, computing ecosystem maturation, fine-tuning and alignment, and reasoning capabilities. These advancements will enable AI-empowered products to be more reliable, trustworthy, and beneficial, with applications in various domains such as education, healthcare, and productivity. The integration of LLMs with other technologies, including tools like databases, simulators, and calculators, will also improve their performance and efficiency. Ultimately, these breakthroughs will usher in the era of intelligent products at a large scale, revolutionizing industries and transforming the way we work and live.