3 Commits

Author	SHA1	Message	Date
LearningCircuit	7f8cab3144	Enhance benchmarking system with dataset refactoring and additional utilities ... - Refactor benchmarks to use modular dataset and metrics classes - Add Gemini optimization and multi-benchmark utilities - Update benchmark runners with LLM configuration options - Improve CLI commands to support database configuration	2025-05-14 09:25:17 -04:00
LearningCircuit	afe4e96ffa	Add database-based LLM configuration and parallel benchmarking tools ... - Create update_llm_config.py utility for managing LLM settings in database - Add run_gemini_benchmark.py for running benchmarks with Gemini via OpenRouter - Implement run_parallel_benchmark.py for concurrent benchmark execution - Update core library to properly use database configuration - Update documentation with new utilities and usage examples	2025-05-14 09:25:17 -04:00
LearningCircuit	aa5531a29a	Add benchmark module components and examples ... - Add benchmark CLI module with parameter optimization, comparison and profiling functionality - Add efficiency module for speed and resource monitoring - Add comparison module for evaluating different configurations - Add example scripts for benchmarks and optimization - Updated import references from 'benchmarking' to 'benchmarks' module	2025-05-14 09:24:52 -04:00