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:...
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) --...
Large language models are much more like discoveries. We’re constantly getting surprised by their capabilities. They’re not really engineered objects. The comment underscores the fact that there’s much even the engineers of large language models don’t understand about where generative AI ...
As AI language models are rolled out into products and services used by millions of people, understanding their underlying political assumptions and biases could not be more important. That’s because they have the potential to cause real harm. A chatbot offering health-care advice might refuse to...
That’s kind of the concept of zero-shot learning with large language models. Foundation models are trained for wide application by not feeding them much in the way of how a task is done, in essence, giving them only limited training opportunities to form understanding while having an expectat...
Training models with different activation functions improved explanation scores. We are open-sourcing our datasets and visualization tools for GPT‑4-written explanations of all 307,200 neurons in GPT‑2, as well as code for explanation and scoring using publicly available models(opens in a ...
“This phenomenon, to the best of our knowledge, has not been documented before in AI systems,” he adds. The formation of collective biases could result in harmful biases, Baronchelli says, even if individual agents seem unbiased. He and his colleagues suggest that LLMs need to be tested ...
AI language models might not be perfect yet but they’re a much more efficient way to get answers without the frustration of navigating a cluttered and often unhelpful forum. @codecavalier Posted 8 months ago arrow_drop_up0more_vert Yeah that makes sense as well… But Stack Overflow sure...
Large language models are trained usingunsupervised learning. With unsupervised learning, models can find previously unknown patterns in data using unlabelled datasets. This also eliminates the need for extensive data labeling, which is one of the biggest challenges in building AI models. ...
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...