\n ## Diagram: Question-Answering System Illustration ### Overview The image depicts a diagram illustrating a question-answering system, likely a large language model (LLM) interaction. It shows a prompt, the model's response, and annotations highlighting key tokens within the prompt and answer. The diagram appears to be used for demonstrating or analyzing the internal workings of such a system. ### Components/Axes The diagram consists of three main sections: 1. **Prompt Section (Top):** Labeled "Prompt" in green text, positioned on the left side. 2. **Answer Section (Bottom):** Labeled "Mistral" in green text, positioned on the right side. 3. **Annotation Section (Center):** Red and blue brackets and labels indicating token boundaries and types. The prompt section contains the question: `<s> [INST] What is the capital of the U.S. state of Connecticut? [/INST]`. The answer section contains the text: "The capital city of the U.S. state of Connecticut is Hartford. It’s one of the oldest cities in the United States and was founded in 1635. Hartford is located in the central part of the state and is home to several cultural institutions, universities, and businesses.</s>". ### Detailed Analysis or Content Details The diagram highlights several tokens with specific labels: * **`last_q_token`**: Located at the top-right of the prompt section, colored green. * **`first_exact_answer_token`**: Located at the beginning of the answer section, colored red. The text is "Hartford". * **`last_exact_answer_token`**: Located at the end of the answer section, colored red. * **`</s>`**: Located at the end of the answer section, colored blue. * **`<s>`**: Located at the beginning of the answer section, colored blue. * **`[INST]`**: Located within the prompt, colored green. * **`[/INST]`**: Located within the prompt, colored green. * **-2, -1**: Numerical values positioned below the answer section, likely representing some internal metric or index. The prompt asks: "What is the capital of the U.S. state of Connecticut?". The model's response correctly identifies Hartford as the capital. ### Key Observations The diagram focuses on identifying the boundaries of the question and answer within the system's processing. The annotations suggest an analysis of token-level information, potentially for evaluating the model's performance or understanding its internal state. The numerical values (-2, -1) are unclear without further context, but may relate to token positions or scores. ### Interpretation This diagram illustrates a simplified view of a question-answering process within a large language model. The annotations highlight the system's ability to identify the relevant portion of the answer (Hartford) corresponding to the question. The use of special tokens (`<s>`, `</s>`, `[INST]`, `[/INST]`) suggests a structured input format for the model. The diagram likely serves as a visual aid for debugging, analyzing, or explaining the model's behavior. The numerical values may represent internal states or scores used during the answer generation process. The diagram demonstrates a successful question-answering interaction, where the model accurately responds to the prompt.