Issue link: https://iconnect007.uberflip.com/i/1544155
T he last time I wrote about data, I focused on data quality and size, data infrastructure, the boundaries of data training, data preparation, many academic and industrial entities and opera- tions. Recent developments point to alternative approaches: resorting to smaller models, namely the reasoning approach, or taking time to "think." Letting the chatbot think for just 20 seconds could get the same boost in performance as scaling up the model by 100,000x and training for 100,000x longer, while delivering comparable performance and consuming substantially fewer resources. Taking time to think allows LLMs to tackle complex problems they haven't been directly trained on. For Artificial Intelligence Part 7: Data Module 2 S M T P E RS P ECT I V ES & P RO S P ECTS BY D R . J E N N I E S. H WA N G, H -T EC H N O LO G I ES G RO U P and the general challenges and concerns of data. This month, I will focus on alternative approaches, data governance, retrieval-augmented generation (RAG), and agentic RAG. 1,2 Alternative Approaches Large language models (LLMs) demand enor- mous resources that may exceed the capacity of 10 SMT007 MAGAZINE I APRIL 2026