Title: Large Language Models are not Fair Evaluators Affiliation(s): Peking University 、The University of Hong Kong 、Tencent Cloud AI Date:2023.06 Published In: Arxiv Abs:(1)文本发现,LLM存在严重的位置偏差为了解决这个问题。(2)本文提出了一个校准框架来减轻位置偏差,其中包含三个简单但有效的策略:...
output: Assistant 2 If you think the two answers are at the same level,output: Same In the subsequent line, please provide a comprehensive explanation of your evaluation, avoiding any potential bias and ensuring that the order in which the responses were presented does not affect your judgment....
OpenAI has not revealed much about how ChatGPT-4 was built. But a look at its predecessor, ChatGPT-3, is suggestive. Large language models (LLMs) are trained on text scraped from the internet, on which English is the lingua franca. Around 93% of ChatGPT-3’s training data was in En...
摘要 Generative AI such as large language models (LLMs) have revolutionized many aspects of life. As these models and tools become more and more pervasive and accessible, novel frameworks and approaches need to be desig...
ChatGPT, GPT-4, Gemini – it’s almost impossible not to come across these terms when reading about artificial intelligence (AI). These are called large language models (LLMs), and they have sparked much discussion in the tech community due to their remarkable capabilities in advancing ...
What is the difference between LLMs and AI? Artificial intelligence is a broad term that encompasses many technologies that can mimic human-like behavior or capabilities. Large language models are a type of generative AI, the umbrella term for AI models that generate content including text, images...
Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI’s ChatGPT was made publicly available in November 2022. LLMs can often answer questions, summarize, paraphrase and translate...
The future of large language models The future of LLMs is still being written by the humans who are developing the technology, though there could be a future in which the LLMs write themselves, too. The next generation of LLMs will not likely beartificial general intelligenceor sentient in ...
We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2.
AI language models are transforming the medical writing space -- like it or not!doi:10.56012/qalb4466LANGUAGE modelsMEDICAL writingARTIFICIAL intelligenceWhether you're an early adopter, an occasional user, or yet to acknowledge its transformative potential, artificial intelligence (AI) -- ...