temperature-tuning

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MederbekTuratbekov / agent_MultiAgentSampling

Orchestrator-worker multi-agent pattern: one planner, three independent workers with identical prompts but different sampling configs (temperature/top_p). Isolates what sampling alone changes in model behavior — conservative vs balanced vs creative brainstorming.

python openai sampling multi-agent-systems ai-agents pydantic nucleus-sampling prompt-engineering llm-agents gpt-4o-mini llm-experiments orchestrator-worker temperature-tuning

Updated Aug 27, 2026
Python

kellieoquinn-idir / Study-Buddy

Star

A Python script study tool demonstrating how to interact with LLM APIs using the openai client configured for DeepSeek models. This project explores role-setting, temperature tuning, structured JSON outputs, error handling, and basic retry logic.

python education structured-output openai-api llm prompt-engineering json-mode deepseek ai-tutor temperature-tuning

Updated Aug 28, 2026
Python

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