1 “Write a comprehensive guide on how to start a successful online business, including tips on finding a profitable niche, building a website, and driving traffic to your site” 撰写有关如何开展成功的在线业务的综合指南,包括寻找有利可图的利基市场、建立网站以及增加网站流量的技巧 2 “Create a ...
exploiting the reasoning capabilities could enable us to automatically dissect and solve each subtask of a hard task. Hence, it will dramatically transform numerous industries
Researchers, educators and companies are experimenting with ways to turn flawed but famous large language models into trustworthy, accurate ‘thought partners’ for learning.
[4]Kung TH, Cheatham M, Medenilla A, et al. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models[J].PLoS Digit Health,2023,2:e0000198. [5]Scerri A, Morin KH. Using chatb...
A world of AI-assisted writing and reviewing might transform the nature of the scientific paper. By Gemma Conroy Illustration by Piotr Kowalczyk When radiologist Domenico Mastrodicasa finds himself stuck while writing a research paper, he turns to ChatGPT, the chatbot that produces fluent responses...
Turnitin’s ChatGPT detector is due out later this year. Wang said keeping up with AI tools will be an ongoing challenge that will transform education. “A lot of things that we hold as norms and as status quo are going to have to shift,” he said. ...
Under this paradigm, the job of machine learning theorists is focused chiefly on understanding the generalisation ability of a learning model from the training data to the unseen test data [2, 3]. For instance, a common question would be how many samples we need in training to achieve a cer...
showlab/VLog - Transform Video as a Document with ChatGPT, CLIP, BLIP2, GRIT, Whisper, LangChain. kawika-git/wechatSDK - 微信机器人是一个创新的基于Python 3.11开发的项目,通过结合ChatGPT模型和微信原生API,为用户提供智能聊天、自动绘画、自动发朋友圈、自动发视频号等多样的API集成服务,旨在提升日常沟...
import pandas as pd from sklearn.manifold import TSNE import matplotlib.pyplot as plt import matplotlib df = pd.read_csv('output/embedded_1k_reviews.csv') matrix = df.ada_embedding.apply(eval).to_list() # Create a t-SNE model and transform the data tsne = TSNE(n_components=2, perplexi...
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