Benchmarking Agentic Reasoning: A Practical Framework Comparing Direct, CoT, ReAct and Reflexion
'Framework and code to systematically compare Direct, CoT, ReAct and Reflexion agent strategies across tasks, metrics and visual analysis.'
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'Framework and code to systematically compare Direct, CoT, ReAct and Reflexion agent strategies across tasks, metrics and visual analysis.'
'A hands-on tutorial showing how Ivy lets you write one neural network and run it across NumPy, PyTorch, TensorFlow, and JAX, including transpilation examples, unified API usage, advanced features, and performance benchmarks.'
'BentoML launched llm-optimizer to automate benchmarking and tuning of self-hosted LLMs and published a browser-based LLM Performance Explorer with pre-computed results.'
TabArena offers a dynamic, community-driven benchmarking platform for tabular machine learning, emphasizing reproducibility, ensembling, and extensive hyperparameter tuning to deliver state-of-the-art performance insights.