A scholarly flowchart illustrating the selection of LLM architectures based on text generation and task requirements.

Create a high-resolution, scholarly-style horizontal flowchart for selecting an appropriate LLM architecture based on task requirements. This diagram must be suitable for a peer-reviewed AI publication. Use a clean modular structure with rounded boxes, bold sans-serif fonts, soft blue-gray tones, and meaningful icons. 🌐 Layout and Logical Flow (from left to right): Start with a central box (rounded rectangle) in light gray labeled: “Is Text Generation Required?” Bold, large font; centered; dark navy text From this decision box, branch: YES (curved arrow up and right) → to a box labeled: “Use Decoder-Only Architecture (e.g., GPT-3, LLaMA, PaLM)” Include a terminal or lightning bolt icon. Place “YES” label near the arrow stem, away from box borders. NO (curved arrow down and right) → to another decision box: “Is the Task Classification, Retrieval, or Sentiment Analysis?” Include a magnifying glass icon From this second decision box: YES (arrow down-left) → to a box labeled: “Use Encoder-Only Architecture (e.g., BERT, RoBERTa)” Use a bar chart or search icon NO (arrow down-right) → to a final box labeled: “Use Encoder-Decoder Architecture (e.g., T5, BART)” Use a dual arrow or transformer icon 🎨 Visual Design Requirements: Maintain a horizontal branching structure — no overlapping arrows Place YES/NO labels on arrows at appropriate split points, not randomly on the diagram Use a calm blue/gray color palette, white background, and light drop shadows for depth All text must be See more