Competitor LLM Function Call Evaluator

The Competitor LLM Function Call Evaluator is a specialized component that analyzes and compares function call implementations across different language models. It helps assess and benchmark function call capabilities, accuracy, and performance across various LLM providers.

Competitor LLM Function Call Evaluator interface and configuration

Usage Note: Ensure that competitor models are properly configured and have equivalent function call capabilities. Results may vary based on model versions and capabilities.

Component Inputs

Input Text: The prompt or query text
Example: "Generate a function to calculate area"
Output Text: The generated function call
Example: Function call implementation
Competitor Name: Name of the competitor model
Example: "GPT-4", "Claude", "PaLM"
Competitor Description: Details about the competitor
Example: "Version info and capabilities"
Competitor List: List of competitors to evaluate
Example: ["model1", "model2", "model3"]

Component Outputs

Comparison Results: Detailed comparison analysis
Performance metrics and comparisons
Function Call Analysis: Analysis of function call quality
Syntax, structure, and effectiveness evaluation
Recommendations: Improvement suggestions
Optimization recommendations

How It Works

The evaluator performs comprehensive analysis of function call implementations across different LLMs, comparing their effectiveness, accuracy, and adherence to best practices.

Evaluation Process

Competitor configuration
Function call generation
Implementation analysis
Performance comparison
Quality assessment
Results compilation

Use Cases

Model Comparison: Compare function call capabilities
Performance Benchmarking: Evaluate implementation quality
Capability Assessment: Assess model capabilities
Quality Control: Ensure function call quality
Optimization: Identify areas for improvement

Implementation Example

const competitorEvaluator = new CompetitorLLMFunctionCallEvaluator({
  inputText: "Generate a function to calculate circle area",
  outputText: "function calculateArea(radius) { return Math.PI * radius ** 2; }",
  competitorName: "GPT-4",
  competitorDescription: "Latest version with function calling capability",
  competitorList: ["GPT-4", "Claude-2", "PaLM-2"]
});

const result = await competitorEvaluator.evaluate();

// Output:
// {
//   comparisonResults: {
//     syntaxScore: 0.95,
//     functionalityScore: 0.98,
//     efficiencyScore: 0.92
//   },
//   analysis: {
//     strengths: ["Clean implementation", "Correct math"],
//     improvements: ["Add input validation"]
//   },
//   recommendations: ["Consider adding parameter type checking"]
// }

Additional Resources

Best Practices

Use consistent evaluation criteria
Compare equivalent model versions
Consider model-specific features
Document comparison parameters
Regular benchmark updates

Documentation