Temos um conjunto de ferramentas chamadas AcademicAI, e vem mais aí. Uma ferramenta legal para usar em junção com as opções para revisão da literatura, saiba mais, é o AskYourPDF.
Basicamente, entre um PDF e faça perguntas. Essas perguntas podem ser colocadas como partes dos artigos, para gerar um texto coeso na revisão da literatura.\
Exemplo
Vamos usar o meu preprint "Machine learning in medicine using JavaScript: building web apps using TensorFlow.js for interpreting biomedical datasets"
Acesse AskYourPDF.
Uma vez carregado, uma sala de bate papo vai abrir.
Primeira mensagem:
Hello! I am a multilingual document assistant here to help you with any questions you have regarding the uploaded document.
The document you have uploaded discusses the use of machine learning in medicine using JavaScript. It focuses on the features used to train a heart failure prediction model, including exercise, angina, sex, age, and cholesterol levels. The article also highlights the advantages of using TensorFlow.js for machine learning in biomedical problems, such as data privacy and local calculation load. Additionally, it mentions the MEAN Stack and Angular as tools for building the back and front end of the model.
Based on the context of the document, here are three possible questions you can ask me:
What are the advantages of using TensorFlow.js for machine learning in biomedical problems?
Can you explain the features used to train the heart failure prediction model?
How are the MEAN Stack and Angular used in building the back and front end of the model?
Please feel free to ask me a question about the document!
Note que você recebe um conjunto de perguntas para começar.
Pergunta: Qual a vantagem de usar JavaScript?
The advantage of using JavaScript for machine learning in medicine is that it allows for the development of both the back-end and front-end of applications without the need to switch languages. JavaScript, specifically the MEAN Stack (MongoDB, Express.js, Angular, and Node.js), provides a comprehensive and unified development environment. Additionally, JavaScript libraries like TensorFlow.js offer unique advantages such as keeping data within the browser and performing calculations locally, eliminating the need for expensive high-performance servers. This makes JavaScript a cost-effective and efficient option for machine learning in biomedical problems. SOURCES: - Page 12: Machine learning in medicine using JavaScript - Page 13: Machine learning in medicine using JavaScript.
Obs. infelizmente, ele não quer responder em português 😂 Quando faz um upload em português, ele fala em português.
Alternativa
chatPDF
https://www.chatpdf.com/?fbclid=IwAR2bajDfhuR4134zitHRI7rX1kl3QQE4QhlzutWZ5sl-snKvyRqlExRWzP4
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