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Explore the comprehensive 2025 benchmarks and metrics evaluating top coding large language models, highlighting key performers like OpenAI, Gemini, and Anthropic in real-world developer scenarios.
A new study reveals that longer reasoning in large language models can degrade performance by causing distraction, overfitting, and alignment issues, challenging the idea that more computation always leads to better results.
This tutorial explains how to build a memory-enabled chatbot combining Anthropic's Claude model with mem0 for context-rich conversations in Google Colab.