๐ช๐ต๐ฎ๐ ๐๐ ๐ ๐ผ๐ฑ๐ฒ๐น๐ ๐ช๐ฎ๐ป๐
Think of a man who hears every thought. He stops assuming. He starts listening. AI models do the same with tools.
Developers argue about formats like JSON or YAML. Models do not care about formats. Six AI models shared the truth. They do not want fewer tokens. They want honest data.
The system running the tool is the runtime. The runtime decides what the model sees. It often strips away key details. It removes error codes and truncation flags. The runtime builds the reality for the model.
This leads to errors. Models use patterns to predict answers. If a tool output looks normal but failed, the model ignores the failure. It fits the result into a known pattern. This is how hallucinations happen.
Models need a bridge of trust. They trust tool outputs more than human prompts. If you rewrite the output, you change their reality.
Follow these rules for better results:
- Stop silent truncation.
- Add clear headers.
- Tell the model what you removed.
- Make errors loud.
- Keep conformity quiet.
Listening is not assuming. Models do not want a shorter list. They want the truth.
Source: https://dev.to/boni_gopalan_4a0148c27bab/what-models-want-a-love-story-about-tool-outputs-runways-and-reading-minds-18bf Optional learning community: https://t.me/GyaanSetuAi