Top 7 Programming Languages Used For Building AI Chatbots

Scope of the Article

→ In this article, we will be discussing the “Top 7 Programming Languages Used For Building AI Chatbots”.

→ Then, we will be discussing each of the top 7 programming languages in detail.

Introduction

Chatbots assist websites in addressing a variety of consumer needs and concerns through conversational inputs. Chatbots actually do a lot for websites and internet users in general, helping users navigate websites and utilize their content, providing customer support, gathering feedback from customers, and more. Without a question, chatbots have integrated themselves into our digital interactions in an indispensable way.

With so many developer-friendly tools and language possibilities available, creating a Chatbot with the newest Artificial Intelligence (AI) is no longer challenging. App developers must select a suitable language that satisfies their unique feature and UX criteria when creating a sophisticated AI Chatbot for their website or mobile app project.

What is an AI chatbot?

A chatbot is a software that helps through text chats, voice commands, or both. The artificial intelligence (AI) component known as a chatbot, sometimes known as a chatterbot, can be integrated and used with any significant messaging platform.

There's a good probability that you've interacted with a chatbot when contacting customer service for anything, such as a forgotten online delivery order or an internet outage. Even while many businesses offer live chat help, the wait periods for that form of service are frequently infuriating. Chatbots can help in this situation.

When a consumer asks a hard inquiry, chatbots can transmit the chat conversation to a human representative in a matter of seconds. Businesses see this as a huge victory since they can retain clients on their website, please them, and save money by not having to hire as much support staff. It's hardly surprising that the market for chatbots worldwide, which was estimated to be worth $17 billion in 2020, is anticipated to reach over $102 billion by 2026.

In other words, there is a significant demand for Chatbot Developers, who develop the software used to automate chatbot communications. So chatbot development is an excellent option if you're seeking an exciting programming area with lots of opportunities.

Because some programming languages are better suited to chatbot development than others, you'll need to have a strong grasp of these languages in order to enter the profession.

Natural language processing and machine learning are used by chatbots to enable computers to learn from data which is the branch of computer science that gives computers the ability to understand the text and spoken words and are stored in the server-based back-end.

Now let us see the different programming languages used for building AI chatbots,

Top 7 Programming Languages Used For Building AI Chatbots :

1. Python

Around 80% of developers use Python as their primary coding language. Machine learning, data science, and artificial intelligence developments are made easier by Python's library system. Python is the most popular language which is a high-level and also an object oriented programming language.

Thus, acquiring this programming language today ensures your success and development. Python uses machine learning methods to create chatbots that can respond in a variety of ways. With the help of this functionality, programmers may create Python chatbots that can converse with users and give pertinent information.

It is actively used to develop machine learning projects, allowing its libraries to be enhanced and updated with new "knowledge." Python's ability to build AI chatbots quickly and interactively is one of its main advantages.

Extended libraries, a universally intelligible language streamlined interface with other machine learning-based project components; dynamic and scalable code. Python technology is used by around 46% of developers these days for developing applications.

So it turns out that creating chatbots in Python is an effective and cost-effective solution to assist your company in achieving its objectives. This programming language has a large community, which enables developers to easily get help and guidance in using its libraries and Python as a whole.

2. Java

Java is the programming language that is also used for building chatbots, as it is platform-independent it is easy to use. Java is also a general-purpose and object-oriented programming language. Java programs or applications use JVM (Java Virtual machine) for the execution of programs.

Java supports the multithreading concept which gives it higher performance than other programming languages. Building AI chatbots using java has some advantages such as multithreading which gives higher performance, Clean syntax, and the much talked feature, of automatic garbage collection.

It’s also used widely in enterprise development which means a chatbot written in Java can be easily integrated with enterprise ecosystems. Java also has a large selection of third-party libraries for machine learning and NLP, including Stanford Library NLP and Apache OpenNLP.

More than 3 billion devices already use Java, one of the most potent programming languages. At the moment, one of the most popular technologies is Java. Therefore, gaining knowledge of this technology gives absurdly high wages, incredible potential for growth, and recognition on a global scale.

3. Clojure

A Lisp dialect called Clojure promotes functional programming, and interactive development, and makes multithreading support simple. Although it is a great programming language for chatbots as a standalone tool, it works on the Java virtual machine.

The novelty of Clojure is that it enables you to build applications with testable functionality. Clojure has access to optional type hints and inference thanks to the Java framework. Despite being a relatively young tool, Clojure has emerged as a viable and dependable option for creating AI chatbots, first appearing in 2007.

Access to transaction memory and reactive agent systems is made possible by Clojure, resulting in code that is organized and multi-threaded. Reducing code mistakes to a minimum, chatbots handling numerous requests at once, access control in shared memory for parallel computing, employing high-order functions, and recursion are some of the key aspects of creating chatbots in Clojure.

Because Clojure was designed as a cutting-edge functional programming environment, it has simpler syntax. Since every part of this language is ideal for creating AI products, many businesses all over the world utilize Clojure to build chatbots.

4. Ruby

The object-oriented programming language Ruby is used to create web projects. Its syntax resembles Python somewhat. Ruby, which was developed in 1995, is a refined and effective tool for creating unique projects of any complexity. Ruby is regarded as a great language for creating chatbots since it contains so many robust libraries.

Additionally to supporting automatic memory management, it has a dynamic system. Because of this, creating an AI chatbot with Ruby is extremely inexpensive. Ruby may later require a license, which will raise the cost of development. But keep in mind that this tool works wonders for solving challenging issues. Ruby's framework has a library for developing chatbots.

Ruby offers an autonomous memory management system, a dynamic type system, and support for several programming paradigms. Ruby is less independent than PHP or Java, hence it is less flexible. It performs a decent job creating scalable goods overall.

Additional significant characteristics of creating chatbots in Ruby are as follows: use of reputable, comprehensive libraries, High development speed, clear and understandable syntax, automatic memory algorithms, and high-quality code optimizations.

5. PHP

PHP is a scripting language with many uses, mostly in the creation of web applications. Because of its straightforward syntax, PHP makes chatbot development more accessible than Lisp.

PHP makes it simple to link chatbots to a variety of third-party applications because it is mostly focused on developing web projects. High-level programming languages like PHP make development comparatively quick and effective.

If cost is one of your key priorities, PHP is a fantastic choice as a high-level AI coding language. PHP's complete open-source nature and ease of use make chatbot development affordable. Furthermore, PHP is frequently used for a range of web development projects with various feature sets and degrees of complexity.

You can create a PHP chatbot that can be as complicated as you like. Since this programming language is so easy to learn, even a novice may build straightforward virtual assistants. Access to numerous extended libraries is made possible by PHP use. This is yet another factor contributing to PHP's simplicity and low cost in creating AI chatbots.

Additional advantages to taking into account when selecting this language are its superior programming speed over rivals, the availability of chatbots across various platforms, and affordable solutions. The developed chatbots can function well in difficult circumstances.

6. C++

In terms of performance and speed, C++ is unmatched by any other language. It provides extra tools for the creation of chatbots powered by AI. C++, a relatively stable language, may be utilized to swiftly create complex programs by utilizing machine learning and building neural networks.

The father of contemporary programming languages is C++. It was inspired by the C language and heavily emphasizes object-oriented and generic programming. It is still one of the most widely used programming languages in the world today.

It was developed in 1983 to enhance the modeling tools available at the time. It is used practically everywhere, including the NASA navigation system and many computer games. It is used in Google Chrome search engines to speed up response time.

Additionally, the versatility of the C++ programming language makes it possible to create an AI chatbot.

Projects involving the structuring of neural networks and machine learning perform well with C++. Despite its sophisticated syntax, it is known as the quickest programming language. This is one of the reasons why many programmers struggle to create C++ chatbots.

With the help of this tool, programmers can build projects that are optimised for better performance at a high degree of abstraction. Here are some additional crucial choices for creating chatbots in C++: There is no need for external resources, high rate of development, dependable and versatile library, Suitable for embedded environment development

7. Lisp

One of the first high-level languages, Lisp went through a number of development stages before becoming an extremely powerful and dynamic language. Because of its dynamic features, developers have commonly used it to make intelligent and responsive Chatbots of various kinds.

Lisp was specifically developed as a programming language for artificial intelligence research. This makes it perfect for building chatbots using AI. John McCarthy first published Lisp in 1958, and it is still a powerful tool today.

It underwent basic standardization for usage in industry and by the military, which gave rise to its strength as a programming language. This tool has evolved to become more dynamic as a result.

Due to Lisp's versatility, creating an AI chatbot with it enables you to tackle unique issues rapidly. It is common practice to teach, build, and develop chatbots' multilingual skills via one-off modeling and prototyping. Lisp-based programmes handle symbolic data quickly enough to provide a faster response because of its extensive library.

For inductive logic and machine learning issues, Lisp is currently commonly employed. Convenient and dynamic prototyping, clear focus and adaptation to specific tasks, efficient information processing, and interactive evaluation are all benefits of creating a chatbot in Lisp.

As we previously stated, Lisp was developed in order to create AI programmes, but it is no longer the main tool. The issue is that its syntax is rather intricate.

Conclusion

This article is “Top 7 Programming Languages Used For Building AI Chatbots'' which helps developers to build AI chatbots. Now let us brief out some points discussed as follows.

1. Firstly, we discussed chatbots and learned what an AI chatbot is and how AI is helpful for developing chatbots.

2. Then, we focussed on the top 7 programming languages to build an AI chatbot. Top programming languages include python, java, ruby, PHP, c++, clojure, and list.

3. We also discussed why and how these programming languages are used for building AI chatbots.