IBM is looking towards a future where small language models will enhance the accessibility of artificial intelligence (AI) for organizations. AI and automation are transforming business processes and can lead to increased productivity, according to Paul Burton, IBM’s general manager for Asia-Pacific. The investment in AI systems in the region is expected to grow significantly in the coming years.
Large language models (LLMs) have impressive capabilities but come with high power consumption and costs. To address this issue, small language models (SLMs) have been developed as a more cost-effective alternative. These SLMs democratize AI by running on more affordable hardware, making AI more accessible for hobbyists and institutions. SLMs are versatile and can be used in various industries, such as healthcare and wealth management.
IBM Watsonx Granite models, with 13 billion parameters, exemplify SLMs that organizations can use for ethical and responsible AI applications. IBM has expanded the availability of AI software to countries worldwide, allowing for more widespread adoption of AI technologies. These smaller models enable users to train models themselves, even on personal devices like laptops.
Burton emphasizes the importance of investments in digital infrastructure and complementary technologies like hybrid cloud, cybersecurity, and AI applications. These technologies are crucial for unlocking the full potential of digital infrastructure and driving economic growth. Burton also mentions the need for education and skills development to maximize the benefits of technological investments and enable business processes.
Thailand’s technology spending as a percentage of GDP is lower compared to other countries, indicating room for growth in the digital sector. Burton suggests that increasing technology spending, along with improving business processes and education, can lead to significant economic development. Collaboration between humans and computers is essential for success in the digital age, emphasizing the importance of skills training and adaptation to technological advancements.
In conclusion, IBM is advocating for the adoption of small language models to democratize AI and enhance accessibility for organizations. Investing in digital infrastructure and complementary technologies is crucial for driving economic growth and maximizing the benefits of technological advancements. Collaboration between humans and computers is key to success in the digital era, highlighting the importance of skills development and education. Thailand has the potential to become a trillion-dollar economy by prioritizing technology investments and fostering collaboration between humans and machines.
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https://www.bangkokpost.com/business/general/2800016/ibm-touts-future-accessibility-of-ai-at-companies
