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Researchers are focusing on mitigating AI bias through prompt engineering techniques that influence the generation of unbiased content from Large Language Models (LLMs). Various methods, such as intent-based prompt calibration and self-exploring language models, are being used to enhance LLMs' capabilities. Additionally, frameworks like Medprompt and Reason3D are being developed to improve the prompting process for LLMs.
This AI Research from Tenyx Explore the Reasoning Abilities of Large Language Models (LLMs) Through Their Geometrical Understanding https://t.co/6SnGeYbmPL
This AI Research from Tenyx Explore the Reasoning Abilities of Large Language Models (LLMs) Through Their Geometrical Understanding Quick read: https://t.co/xjNVtI4tha Paper: https://t.co/cx4TDSe1Xp @Tenyx_AI https://t.co/txuSBodWKB
What was the first Prompt Engineering Guide on the Internet? Learn Prompting (October 2022) Fast facts: 1) Cited by Google, Wikipedia, O'REILLY, Scale AI 2) Used by Most Fortune 500 and Consulting Companies 3) Academic research cited by @openai and the US Government (NIST) 🧵
