Huge focus on chain-of-thought the past couple of weeks in LLMs research. Here are a few papers if you are looking for interesting weekend reads: - Diagram of Thought (DoT): Enhances the reasoning capabilities of LLMs through mathematical rigor. DAT models iterative reasoning in LLM as the c... See more

Prompting Unlocks Theory-of-Mind in LLMs Zero-shot theory-of-mind accuracy: -GPT-4: 80% -Humans: 87% Prompting in-context learning (few-shot / chain-of-thought reasoning): -All RLHF-trained LLMs: 80%+ -GPT-4: 100% ___LINEB... See more

🚨Our Generative AI Lab at Wharton is releasing its first Prompt Engineering Report, empirically testing prompting approaches. This time we find: 1) Prompting “tricks” like saying “please” do not help consistently or predictably 2) How you measure against benchmarks matters a lot https://t.co/wNPVrn77oc