Typically, a machine-learning model like GPT-3 would need to be retrained with new data for this new task. During this training process, the model updates its parameters as it processes new information to learn the task. But with in-context learning, the model's parameters aren't updated, ...
Epistemology Goes AI: A Study of GPT-3's Capacity to Generate Consistent and Coherent Ordered Sets of Propositions on a Single-nput-Multiple-Outputs Basis In this paper, we propose an experimental method for the assessment of GPT-3's capacity to generate consistent and coherent sets of outputs...
Developing Effective Educational Chatbots with GPT: Insights from a Pilot Study in a University Subjectdoi:10.3390/higheredu3010009Fulgencio, Sánchez-VeraTrends in Higher Education (2813-4346)
Educators have understandably raised concerns about ChatGPT, which some believe may increase academic dishonesty. But Helveston and Watkins say that in their experience, if students are taught how and when to use LLMs as tools for learning, they may actually learn better. Quantitatively, Helveston...
I found this to be really, really helpful. So that’s number one. 2. Finding Bible verses that can help support my point with ChatGPT Now let’s go to the second example of how I use ChatGPT for Bible study. This would be something to the effect of:what are some Bible verses that...
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Specifically, we first convert the image into captions (or tags) that GPT-3 can understand, then adapt GPT-3 to solve the VQA task in a few-shot manner by just providing a few in-context VQA examples. We further boost performance by carefully investigating: (i) w...
Academic pressure can always get to students. In multiple cases, students are stuck with long articles. It can become very hard to gather useful information from long articles. That is where ChatGPT can help. It can summarize and paraphrase for you. ...
ChatGPT has significantly impacted software development practices, providing substantial assistance to developers in various tasks, including coding, testi
提出PICa:通过使用 Image Caption 来提示 GPT3 ,并用于 Knowledge-based VQA 任务 将GPT-3 视为一个隐式和非结构化的知识库,可以同时获取和处理相关知识,而不是像以前的工作那样使用结构化知识库。具体来说: 首先,将图像转变为 GPT3 能理解的字幕 然后,通过提供一些上下文情景的 VQA 示例来调整GPT-3以快速解...