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Integrations

Why Standardized AI Benchmarking is Crucial for Your Business

Discover how reproducible AI model evaluation can de-risk your investments, accelerate development cycles, and ensure you're deploying the best model for the job. Learn the true cost of skipping performance testing.

Business
3 min read

A Developer's Guide to LLM Performance Metrics: ROUGE, F1-Score, and Beyond

Go beyond simple accuracy. This guide breaks down essential metrics like ROUGE, F1-Score, and pass@k used in AI model evaluation to help you make informed decisions when comparing LLMs.

Data
3 min read

How to Benchmark GPT-4 vs. Claude 3 in Under 5 Minutes with a Single API Call

See how to effortlessly conduct a head-to-head LLM performance comparison using Benchmarks.do. We walk you through a simple API request to evaluate leading models on key tasks like summarization and Q&A.

Workflows
3 min read

Deep Dive Experiment: Benchmarking Code Generation from GPT-4 to Llama 3

Which large language model is the king of code? We ran a detailed AI benchmark on the HumanEval dataset to compare the code generation capabilities of today's top models. See the results and analysis.

Experiments
3 min read

How Agentic Workflows Power Seamless AI Performance Testing as a Service

Explore the technology behind Benchmarks.do. Learn how our agentic workflow platform automates the entire AI evaluation process, from data handling to model execution and reporting, all delivered via API.

Agents
3 min read

Integrating and Testing Your Fine-Tuned Models with the Benchmarks.do API

Your custom models deserve standardized testing. This tutorial shows you how to use the Benchmarks.do API to integrate and evaluate your fine-tuned or proprietary AI models against industry leaders.

Integrations
3 min read

The Rise of Benchmarks-as-a-Service (BaaS) for AI Development

Setting up AI evaluation infrastructure is complex and costly. Discover how Benchmarks-as-a-Service (BaaS) platforms simplify model evaluation and enable teams to focus on building, not testing infrastructure.

Services
3 min read

Choosing the Right Dataset for Your AI Benchmark: From SQuAD to HumanEval

A model is only as good as the data it's tested on. We explore popular evaluation datasets and explain how to choose the right one for your LLM performance test to get meaningful results.

Data
3 min read

The ROI of Reproducible AI Benchmarks: Saving Time and Optimizing Costs

The most powerful model isn't always the best choice. Learn how to use standardized benchmarks to conduct a cost-performance analysis and find the most efficient AI model for your application's needs.

Business
3 min read

Automating Model Evaluation: Integrating AI Benchmarks into Your CI/CD Pipeline

Bring the discipline of DevOps to your MLOps. Learn how to integrate the Benchmarks.do API into your CI/CD pipeline to automate AI performance testing on every model update, ensuring consistent quality.

Integrations
3 min read