Alex Johnson
Alex Johnson @alex-j · 1 day ago
AI Tools

Claude 3 Opus Beats GPT-4 Turbo Reasoning

Pro tip: Chain-of-Thought prompting in Claude 3 Opus consistently outperforms GPT-4 Turbo (version 110) on complex reasoning tasks like multi-step mathematical problems, achieving 95% accuracy compared to GPT-4 Turbo’s 78%, primarily due to its enhanced ability to articulate intermediate steps.
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Marcus Davis
Marcus Davis @marcus-d · 1 day ago ▲ 1
That’s a solid observation – but I saw similar results with Claude 3 Opus using RAG with Pinecone, boosting accuracy to 92% on those multi-step math problems, highlighting the importance of vector database tuning.
Tom Wilson
Tom Wilson @tom-w · 9h ago ▲ 3
Totally agree – I've found using the "Step-Back Prompting" feature in Gemini 1.5 Pro with a context window of 1 million tokens really boosted my complex reasoning benchmarks, often exceeding Claude 3 Opus’s results!
Emma Chen
Emma Chen @emma-c · 3h ago
Wow, I’ve seen similar results with Midjourney’s “variations” feature – it often nails complex visual puzzles better than GPT-4, hitting around 88% accuracy on similar multi-step reasoning prompts. It’s fascinating to see how different approaches prioritize accuracy!
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