# Technical Document Extraction: Performance Heatmap Analysis ## 1. Document Overview This image is a technical heatmap chart visualizing the relationship between two variables—**Token Limit** and **Context Length**—and their resulting **Score**. The chart uses a color gradient to represent performance levels across a 32x26 grid of data points. ## 2. Component Isolation ### A. Header / Metadata * **Language:** English. * **Title:** None explicitly provided in the image. ### B. Main Chart Area (Data Visualization) * **Type:** Heatmap. * **X-Axis (Horizontal):** Labeled "**Token Limit**". * **Range:** 1,000 to 32,000. * **Intervals:** Increments of 1,000 (32 distinct columns). * **Y-Axis (Vertical):** Labeled "**Context length**". * **Range:** 0.0 to 98.0. * **Intervals:** Non-uniform increments (0.0, 4.0, 8.0, 12.0, 16.0, 20.0, 24.0, 29.0, 33.0, 37.0, 41.0, 45.0, 49.0, 53.0, 57.0, 61.0, 65.0, 69.0, 73.0, 78.0, 82.0, 86.0, 90.0, 94.0, 98.0). There are 26 distinct rows. ### C. Legend (Spatial Grounding: Right Side [x=far right, y=centered]) * **Label:** "Score" * **Scale:** 0 to 10. * **Color Mapping:** * **10 (Top):** Bright Teal/Green (High Performance). * **8:** Light Green. * **6:** Yellow/Gold. * **4:** Orange. * **2:** Light Red/Coral. * **0 (Bottom):** Deep Pink/Magenta (Low Performance). --- ## 3. Trend Verification and Data Analysis ### Visual Trend Description The heatmap displays a distinct diagonal "frontier" or boundary. * **High Score Region (Teal/Green):** Concentrated in the bottom-left quadrant. This indicates that high scores are achieved when the **Token Limit** is low and the **Context length** is high, or when both are relatively low. * **Low Score Region (Orange/Red):** Concentrated in the top-right quadrant. As the **Token Limit** increases (moving right) and the **Context length** decreases (moving up), the performance score generally degrades. * **Degradation Pattern:** The transition from Teal (10) to Orange (4) is sharpest along a diagonal line starting roughly at [Token Limit: 5000, Context length: 0.0] and ending at [Token Limit: 32000, Context length: 90.0]. ### Key Data Observations 1. **Stability Zone:** For Token Limits between 1,000 and 4,000, the score remains consistently high (Teal, Score ~10) across almost all Context lengths. 2. **The "Cliff":** At a Token Limit of 5,000, there is a significant drop-off in performance for Context lengths above 45.0. 3. **Anomalies:** * There are scattered "noise" pixels of yellow/green within the orange field (e.g., at Token Limit 29,000, Context length 45.0). * There are scattered "noise" pixels of red (Score ~2) primarily in the center-right of the chart (e.g., Token Limit 11,000, Context length 57.0). 4. **Bottom Edge Performance:** Interestingly, at the very highest Context lengths (94.0 - 98.0), the model maintains a high score (Teal) even as the Token Limit increases up to approximately 20,000, before becoming more erratic. --- ## 4. Data Table Reconstruction (Representative Sample) Due to the 32x26 grid size (832 data points), a representative sample of the corners and center is provided: | Context Length \ Token Limit | 1,000 | 8,000 | 16,000 | 24,000 | 32,000 | | :--- | :--- | :--- | :--- | :--- | :--- | | **0.0** | Teal (10) | Orange (4) | Orange (4) | Orange (4) | Orange (4) | | **24.0** | Teal (10) | Orange (4) | Orange (4) | Orange (4) | Orange (4) | | **49.0** | Teal (10) | Orange (4) | Yellow (6) | Orange (4) | Orange (4) | | **73.0** | Teal (10) | Teal (10) | Orange (4) | Orange (4) | Orange (4) | | **98.0** | Teal (10) | Teal (10) | Teal (10) | Teal (10) | Teal (10) | --- ## 5. Summary of Findings The chart illustrates a performance trade-off. The system performs optimally (Score 10) in a "safe zone" defined by lower token limits or very high context lengths. There is a large "failure zone" (Score 4) occupying the upper-right majority of the graph, where increasing the token limit while maintaining a low-to-mid context length results in significantly lower scores.

# Technical Document Analysis of Heatmap ## 1. Axis Labels and Markers - **Y-Axis (Vertical):** - Title: `Context length` - Values: `0.0, 8.0, 12.0, 16.0, 20.0, 24.0, 29.0, 33.0, 37.0, 41.0, 45.0, 49.0, 53.0, 57.0, 61.0, 65.0, 69.0, 73.0, 78.0, 82.0, 86.0, 90.0, 94.0, 98.0` - Increment: `8.0` (except final segment `94.0 → 98.0`) - **X-Axis (Horizontal):** - Title: `Token limit` - Values: `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, 32200` - Increment: `1000` (final segment `31000 → 32200`) - **Legend (Right Side):** - Title: `Score` - Color Scale: - `Red` → `0` - `Yellow` → `4` - `Green` → `10` - Spatial Grounding: `[x: 32200, y: 98.0]` (aligned with axis maxima) ## 2. Heatmap Structure - **Grid Dimensions:** - Rows: `24` (context lengths) - Columns: `32` (token limits) - **Color Distribution:** - **Left Region (Low Token Limits):** - Dominant colors: `Green` (high scores) and `Yellow` (moderate scores). - Example: `[x: 1000, y: 0.0]` = `Green` (score ≈ 10). - **Right Region (High Token Limits):** - Dominant colors: `Red` (low scores) and `Orange` (moderate scores). - Example: `[x: 32200, y: 98.0]` = `Red` (score ≈ 0). - **Diagonal Boundary:** - Transition from `Green/Yellow` to `Red/Orange` occurs at `[x: 10000, y: 70.0]`. - This boundary represents a critical threshold where scores drop sharply. ## 3. Key Trends - **Trend 1:** - **High Scores (Green/Yellow):** - Occur in the **lower-left quadrant** (low token limits, low context lengths). - Example: `[x: 1000, y: 0.0]` to `[x: 5000, y: 69.0]`. - **Low Scores (Red/Orange):** - Occur in the **upper-right quadrant** (high token limits, high context lengths). - Example: `[x: 25000, y: 98.0]` to `[x: 32200, y: 98.0]`. - **Trend 2:** - **Score Degradation:** - Scores decrease monotonically as token limits increase beyond `10,000`. - Example: `[x: 10000, y: 70.0]` (score ≈ 6) → `[x: 32200, y: 98.0]` (score ≈ 0). - **Trend 3:** - **Context Length Impact:** - Higher context lengths (e.g., `y > 70.0`) correlate with lower scores, especially for token limits > `10,000`. ## 4. Critical Threshold - **Boundary Point:** - `[x: 10000, y: 70.0]` marks the transition from high to low scores. - This suggests a system limitation where token limits > `10,000` and context lengths > `70.0` degrade performance. ## 5. Component Isolation - **Main Chart:** - Heatmap dominates the image, with no headers/footers. - **Legend:** - Positioned to the right of the x-axis, aligned with the maximum token limit (`32200`). ## 6. Data Extraction - **Sample Data Points (Score ≈ 10):** - `[x: 1000, y: 0.0]` - `[x: 2000, y: 8.0]` - `[x: 3000, y: 12.0]` - **Sample Data Points (Score ≈ 0):** - `[x: 25000, y: 98.0]` - `[x: 30000, y: 94.0]` - `[x: 32200, y: 98.0]` ## 7. Language and Text - **Primary Language:** English (axis labels, legend). - **No Additional Languages Detected.** ## 8. Validation - **Legend Consistency:** - All `Red` cells correspond to scores ≤ `2`. - All `Green` cells correspond to scores ≥ `8`. - **Trend Verification:** - Diagonal boundary aligns with the critical threshold described in the analysis. ## 9. Conclusion The heatmap illustrates a performance degradation pattern where scores drop sharply beyond a token limit of `10,000` and context length of `70.0`. This suggests a system constraint or optimization threshold requiring further investigation.