When individuals interact with modern large language models (LLMs) such as GPT, Claude, or Gemini, they observe a process fundamentally distinct from how humans formulate sentences. While humans naturally construct thoughts and convert them into words, LLMs operate through a cyclical conversion process. Understanding this process reveals both the capabilities and limitations of these powerful
Read More
9 AI Concepts Explained in 7 Minutes The Evolution of AI in Software Development Artificial intelligence has profoundly transformed the methodologies employed by software engineers. This significant paradigm shift can be delineated into three distinct evolutionary phases. Early adoption involved utilizing general-purpose large language models, commonly perceived as chat assistants. Engineers would input code snippets
Read More
Digital services necessitate the precise extraction of data from user-provided documents, including identification cards, driver’s licenses, and vehicle registration certificates. This capability proves crucial for electronic know-your-customer (eKYC) verification. Nevertheless, the vast diversity of languages and document formats across the region presents a substantial challenge for such tasks. The Grab Engineering Team encountered considerable hurdles
Read More
Prompt engineering involves meticulously designing instructions that direct AI language models toward generating specific, desired outputs. Initially, this discipline may appear uncomplicated; one might assume that merely stating a request to an AI would suffice. However, practitioners quickly learn that formulating truly effective prompts presents a significant challenge. The apparent simplicity of initiating prompt engineering
Read More