**Imagine the process of training large language models as creating an incredibly well-read scholar. This scholar, or model, is given access to a massive library filled with all kinds of books - from encyclopedic volumes (like Wikipedia articles) to novels and academic dissertations (like digital books and scholarly papers). The scholar reads and absorbs every single one of these texts, not to understand or believe everything they contain, but to learn the structure, patterns, and nuances of the language. The scholar doesn't form opinions or draw conclusions from the texts; instead, it uses this amassed knowledge to generate or complete new texts that mimic the styles and structures it has learned.** - Image #3 <@1121597220152692807>
Imagine the process of training large language models as creating an incredibly wellread scholar. This scholar, or model, is given access to a massive library filled with all kinds of books  from encyclopedic volumes like Wikipedia articles to novels and academic dissertations like digital books and scholarly papers. The scholar reads and absorbs every single one of these texts, not to understand or believe everything they contain, but to learn the structure, patterns, and nuances of the language. The scholar doesnt form opinions or draw conclusions from the texts instead, it uses this amassed knowledge to generate or complete new texts that mimic the styles and structures it has learned.