AI has demonstrated its potential in the field of healthcare, education, space, crowd management, and even in reading and interpreting human emotions. AI researchers and experts are experimenting with the limits of artificial intelligence and its potential in penning down poetry.

A recent survey on literature in the category of machine learning and AI learning has revealed a steady progression in developing techniques to automate poetry generation.

AI Researchers are Farsighted about AI in Poetry Making

“Her eyes, twin pools of mystic light,
Forever in her radiance white—, 
She sought the bosom of the Night. 
Away it came, that mystic sight!”

— Anonymous human writer in collaboration with a poetry algorithm.

This poem was created by a machine in collaboration with a human poet. It is a Google software program known as Verse by Verse. Verse by Verse takes the first line of poetry as input and produces the subsequent lines following a definite rhyme.

Although AI algorithms have successfully generated poetic results, the quality of the poetry is fairly mediocre. AI’s attempt to generate poetry has met with resistance and indignation from authors, poets, and critics. They opine that it is impossible for AI to touch the most sublime emotions and moods that humans possess.

A Glimpse of Verse by Verse

The Google software, Verse by Verse is demonstrating abilities in producing a text by learning and interpreting a corpus of poetry by twenty-two different poets. On the website of the program, users are invited to choose their ‘muses’, three poets, and create the first line of the poetry. The software pens down subsequent lines.

Users of Verse by Verse are unsatisfied with the results. However, the software is welcomed by academicians and institutions as it ushers a new dimension to machine learning and artificial intelligence as a whole. Verse by Verse utilizes language models and programs that use machines to establish a statistical representation of how words fall beside each other to form a coherent sentence. The paradigmatic language model that the software uses is GPT-3. GPT-3 is a program launched by an OpenAI startup in San Francisco in 2020. GPT-3, the language model has demonstrated its poetic abilities by re-writing a phrase by Franz Kafka.

Verse by Verse is now used to read and understand Shakespeare’s couplets. Results on this have not been disclosed yet.

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Looking for powerful technology for your new project? The right framework makes application development simpler and faster. Your choice of tech stack can also influence the price and future possibilities of improving your business solutions.

You have heard about Python and you think it might be the best language to start your new app with? Here you’ll find some information about the most popular Python-based frameworks.

How to choose the right framework for your project

Surely, you know by now that there are plenty of technologies that could be used for web and mobile app development, creating advanced solutions for your company management and leveraging the newest methods of running a business. Python is a high-level general-purpose programming language, and it has many frameworks designed to overcome different development problems. It can be used in various projects.

But how do you decide which framework is the best for your company? Before you meet with consultants and developers from a software house, you should answer the following questions:

1. How big and complex will your desired business solution be?
2. Does your in-house team have a lot of experience in IT projects, and you’d like to choose your application structure and libraries, or would you rather the developers select it for you?
3. What quality of performance do you expect?
4. What is your preferred time-to-market?
5. What kind of special features do you expect your application will have?

You don’t have to be an expert on IT solutions for business and choose the only framework by yourself. Idego Groupconsultants have many years of experience in analyzing the business needs of small, medium, and large companies and suggesting the right solutions. All you have to do is to tell them what you require and ask about some tech stack that interests you – keep reading to learn about popular Python-based frameworks.

Flask

This is among the most popular Python-based frameworks in 2020. It provides a core set of functionalities: request handling, routing, WSGI compliance, templating, and flexibility. Using it, developers can make their own choice for matters like storage, database interaction, authentication, authorization, security solutions, and many others – as it allows for easy integration of your chosen solutions. The possibility to do so lets you keep your app free of libraries and pieces of code representing functionalities that your business solution doesn’t use at all. Apart from flexibility, you’ll benefit from scalability as Flask enables developers to scale applications easily.

Which projects should it be considered for?

• Web application development
• Building microservices
• MVP development in a short time
• Medium and large scale projects

Pyramid

This full-stack framework provides routing, renderers, and command-line tools for bootstrapping a project and enables the user to choose the libraries, database layer, and templating system. Developers can use a nice, large set of useful plugins for their projects. This may be a good choice if you expect to integrate your application with systems that would not be integrated easily with frameworks such as Django. By developing in Pyramid, developers can code with a minimalistic approach (it is similar to Flask in that regard). There is no need to deal with components that are not of high business value for your company. This results in better performance.

Which projects should it be considered for?

• Large applications
• For exposing existing Python code as a REST API
• Providing the core for web projects to be developed further

Django

Another full-stack, this Python-based framework is known as a great technology for building complex web applications. Often called “the web framework for perfectionists with deadlines”, Django is great for building advanced business products which need to be created in the shortest possible time. It comes with an automatically generated admin interface that makes quick development easier. Furthermore, it offers its object-relational mapper (ORM) for handling databases and standard solutions for authentication and authorization.

Which projects should it be considered for?

• Rapid development
• Small and large projects
• For web applications that will have to deal with high traffic
• For solutions that will contain a lot of content
• For developing API-only backend applications

Choosing the best technology is not as easy as it might seem. Always remember to analyze all your business needs carefully before making a choice and consult with experts.

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