# Technical Data Extraction: Heatmap Analysis ## 1. Document Overview This image is a technical heatmap visualization, likely representing the performance of a Large Language Model (LLM) across varying context lengths and token limits. It evaluates a "Score" metric based on two primary dimensions. ## 2. Component Isolation ### A. Header/Metadata * **Language:** English. * **Title:** None present in the image. ### B. Main Chart Area (Heatmap) * **Y-Axis (Vertical):** labeled **"Context length"**. * **Scale:** 0.0 to 100.0. * **Markers:** 0.0, 5.0, 11.0, 16.0, 21.0, 26.0, 32.0, 37.0, 42.0, 47.0, 53.0, 58.0, 63.0, 68.0, 74.0, 79.0, 84.0, 89.0, 95.0, 100.0. * **X-Axis (Horizontal):** labeled **"Token Limit"**. * **Scale:** 1000 to 32000. * **Markers (at 1000 intervals):** 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 11000, 12000, 13000, 14000, 15000, 16000, 17000, 18000, 19000, 20000, 21000, 22000, 23000, 24000, 25000, 26000, 27000, 28000, 29000, 30000, 31000, 32000. ### C. Legend (Right Side) * **Spatial Placement:** Located on the far right. * **Label:** **"Score"**. * **Scale:** 0 to 10. * **Color Gradient:** * **10 (Top):** Bright Teal/Green (Indicates perfect/high performance). * **5-7 (Middle):** Yellow/Olive (Indicates moderate performance). * **0-3 (Bottom):** Red/Orange (Indicates poor/low performance). --- ## 3. Trend Verification and Data Extraction ### General Trend Analysis The heatmap is predominantly **Teal (Score 10)**, indicating high performance across the majority of the tested parameters. However, there is a distinct degradation in performance (shifting toward yellow and orange) concentrated in the **upper-right quadrant** (low Context Length, high Token Limit) and scattered noise in the **far-right columns**.

# Technical Document Extraction: Heatmap Analysis ## 1. **Axis Labels and Markers** - **X-axis (Horizontal):** - Label: `Token Limit` - Range: `1000` to `32000` - Tick Intervals: `1000, 2000, 3000, ..., 32000` - **Y-axis (Vertical):** - Label: `Context length` - Range: `0` to `1000` - Tick Intervals: `0, 5, 10, ..., 1000` ## 2. **Legend and Color Scale** - **Legend Position:** Right side of the heatmap. - **Color Scale:** - Gradient from `red` (score = 0) to `green` (score = 10). - Intermediate colors: `yellow` (score ≈ 5), `orange` (score ≈ 8). - **Spatial Grounding:** - The legend is aligned vertically with the heatmap, occupying the rightmost 5% of the image. ## 3. **Key Trends and Data Points** - **Heatmap Structure:** - Grid of colored squares representing scores. - **High Scores (Yellow/Orange):** - Clustered in the **upper-right quadrant** (Token Limit: `25000–32000`, Context Length: `5–32`). - Notable peaks: - `[25000, 5]` (orange, score ≈ 8). - `[32000, 32]` (orange, score ≈ 8). - **Low Scores (Green):** - Dominant in the **lower-left quadrant** (Token Limit: `1000–10000`, Context Length: `0–50`). - Example: `[1000, 0]` (green, score ≈ 2). - **Mid-Range Scores (Yellow):** - Scattered in the **middle-right** (Token Limit: `15000–25000`, Context Length: `50–100`). ## 4. **Visual Trend Analysis** - **Primary Trend:** - Scores increase with **higher Token Limit** and **higher Context Length**. - Example: Scores rise from `2` (green) in `[1000, 0]` to `8` (orange) in `[32000, 32]`. - **Exceptions:** - Some high scores appear at **lower Token Limits** but **higher Context Lengths** (e.g., `[15000, 64]` with score ≈ 6). - A few low scores persist in the **upper-left** (e.g., `[5000, 0]` with score ≈ 3). ## 5. **Component Isolation** - **Main Chart:** - Heatmap grid with no additional annotations or text blocks. - **Legend:** - Color bar with numerical labels (`0` to `10`) and corresponding colors. ## 6. **Data Table Reconstruction** | Token Limit | Context Length | Score | Color | |-------------|----------------|-------|--------| | 1000 | 0 | 2 | Green | | 5000 | 0 | 3 | Green | | 15000 | 64 | 6 | Yellow | | 25000 | 5 | 8 | Orange | | 32000 | 32 | 8 | Orange | ## 7. **Language and Text Extraction** - **Primary Language:** English (all labels, axis titles, and legend text are in English). - **No Additional Languages Detected.** ## 8. **Final Notes** - The heatmap visualizes a relationship between **Token Limit** and **Context Length**, with scores indicating performance or efficiency. - High scores (orange/yellow) are concentrated in the upper-right, suggesting optimal performance at higher limits. - No explicit numerical data table is present; values are inferred from color intensity and spatial positioning.