IBM is focusing on compact, specialized models like Tiny Time Mixers to enhance network intelligence and tackle network automation challenges.
These small models have a deep understanding of time-series data, unlike traditional large language models, allowing for predictions based on network data, weather information, or TV schedules.
The democratization of AI is aiding in improving AI model accuracy, especially in the telecommunications sector, by helping companies innovate faster and solve real-world problems.
IBM's approach of using small models addresses telco infrastructure issues such as bandwidth congestion and poor network coverage, emphasizing the importance of AI model accuracy.