openai/openai-cookbook
Apr 2025 – Jun 2025
2 Months active
Languages Used
JSONMarkdownPython
Technical Skills
API IntegrationData AnalysisJupyter NotebooksLLM EvaluationPrompt EngineeringExample Development
josiah-openai
PROFILE
Josiah-openai
Josiah developed a suite of Jupyter notebooks for the openai/openai-cookbook repository, focusing on practical evaluation workflows for large language models. He implemented end-to-end examples using Python and the OpenAI Evals API, demonstrating how to detect prompt regressions, benchmark structured outputs, and evaluate tool calling with MCP and web search. His work emphasized reproducibility and clear documentation, providing reusable patterns for setting up, executing, and monitoring model experiments. By integrating API-driven data analysis and prompt engineering, Josiah’s contributions accelerated model benchmarking and improved onboarding for developers seeking to validate and observe LLM integrations in real-world scenarios.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
2,531
Activity Months2
Your Network
323 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered practical OpenAI Evals example notebooks in the openai/openai-cookbook to demonstrate evaluating model capabilities with structured outputs, tool calling using MCP, and web search. This release includes a focused commit (7cbff65173e8cceeb1032720f583fd98b6580d9d) and provides ready-to-run patterns that accelerate benchmarking and reproducibility.
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered practical OpenAI Evals example notebooks in the openai/openai-cookbook to demonstrate evaluating model capabilities with structured outputs, tool calling using MCP, and web search. This release includes a focused commit (7cbff65173e8cceeb1032720f583fd98b6580d9d) and provides ready-to-run patterns that accelerate benchmarking and reproducibility.
June 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered OpenAI Evals Notebooks for Evaluation and Experimentation in openai/openai-cookbook. Implemented three notebooks demonstrating how to detect prompt regressions, perform bulk model/prompt experiments, and monitor stored completions using the OpenAI Evals API. The work includes practical eval setup, criteria definitions, and end-to-end run-experiments workflows to evaluate LLM integrations. No major bugs fixed this month. Impact: accelerates evaluation cycles, improves observability of model behavior, and enhances developer onboarding for evals. Technologies demonstrated: Python, Jupyter notebooks, OpenAI Evals API, notebook-based documentation.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered OpenAI Evals Notebooks for Evaluation and Experimentation in openai/openai-cookbook. Implemented three notebooks demonstrating how to detect prompt regressions, perform bulk model/prompt experiments, and monitor stored completions using the OpenAI Evals API. The work includes practical eval setup, criteria definitions, and end-to-end run-experiments workflows to evaluate LLM integrations. No major bugs fixed this month. Impact: accelerates evaluation cycles, improves observability of model behavior, and enhances developer onboarding for evals. Technologies demonstrated: Python, Jupyter notebooks, OpenAI Evals API, notebook-based documentation.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdownPython
Technical Skills
API IntegrationData AnalysisExample DevelopmentJupyter NotebooksLLM EvaluationMachine Learning EvaluationPrompt EngineeringPython Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline