Throughout history, disruptive technologies have been the catalyst for major social and economic revolutions. The invention of the plow and irrigation systems 12,000 years ago sparked the Agricultural Revolution, while Johannes Gutenberg’s 15th-century printing press fueled the Protestant Reformation and helped propel Europe out of the Middle Ages into the Renaissance. In the 18th century,
The first notable change in the field of language models is the significant expansion of context window sizes and a reduction in token costs. For instance, Anthropic’s largest model, Claude, has a context window exceeding 200,000 tokens, while recent reports indicate that Gemini’s context window can reach up to 10 million tokens. Under such circumstances,
For as long as machines have existed, humans have struggled to communicate effectively with them. The rise of large language models (LLMs) has transformed this dynamic, making “prompting” the bridge between our intentions and AI’s actions. By providing pre-trained models with clear instructions and context, we can ensure they understand and respond correctly. As UX
