The way we work, interact, and learn is changing as a result of artificial intelligence (AI). AI technologies are created to support organizations in automating repetitive operations, enhancing decision-making, and increasing overall productivity.

The well-known AI tools ChatGPT and Jasper have been enthusiastically embraced across several sectors. But, there are a number of additional AI technologies that you might not be familiar with that might support your professional objectives. We will look at a few of these less well-known AI technologies in this post, along with some of their possible uses.

AI Tools Besides ChatGPT or Jasper

Face Squeezing

Models that have previously been trained to perform natural language processing (NLP) tasks, such as text classification, question-answering, and sentiment analysis, are available through an open-source AI library called Hugging Face. Hugging Face is an excellent tool for programmers wishing to build chatbots, virtual assistants, or other conversational AI applications. The library is easy to use and offers a wide range of models that may be customized to match specific needs.


Developers may find, use, and manage AI models on Algorithmia, a cloud-based AI marketplace. The platform provides a selection of pre-built machine learning, natural language processing, and image recognition models. Businesses that want to implement AI into their operations without spending a lot of money on pricey gear or hiring a staff of data scientists can consider using algorithms.


TensorFlow is developed by Google. The platform allows developers to build, train, and deploy machine learning models. TensorFlow is widely used in various industries, including healthcare, finance, and manufacturing. The platform is easy to use and offers a range of pre-built models that can be customized to suit specific needs.


On top of TensorFlow, the Keras high-level network is constructed. Programmers can construct and train deep learning models with Keras with little to no coding. The platform is user-friendly and provides a number of pre-built speech recognition, image, and text classification models. Keras is an excellent tool for businesses looking to integrate deep learning into their operations without having to hire a data science staff.


OpenCV is a free and open-source computer vision framework that enables programmers to create image and video processing software. The collection provides a selection of face recognition, picture segmentation, and object identification methods. Healthcare, retail, and the auto industry are just a few of the sectors that employ OpenCV extensively. The library is simple to use and provides a selection of ready-made models that may be altered to meet certain requirements.


The open-source machine learning toolkit PyTorch offers a number of tools for developing and improving deep learning models. The platform is crucial to several sectors, including healthcare, banking, and education. With PyTorch, there are a number of pre-built models for speech recognition, classification of images and text, and user-friendliness.

IBM's Watson Studio

IBM Watson Studio is a cloud-based AI platform that enables businesses to develop, test, and employ machine learning models. A variety of pre-built machine learning, natural language processing, and image recognition models are available on the platform. IBM Watson Studio is a terrific tool for businesses that don't want to spend a lot of money on expensive equipment or hire a lot of data scientists.


An AI platform called DataRobot enables companies to create and use machine learning models. The platform provides a variety of pre-built models for natural language processing, time series forecasting, and predictive modeling. For companies who want to implement AI into their operations without having to hire a staff of data scientists, DataRobot is a fantastic tool.

Open-source artificial intelligence platform provides a range of machine learning and data analysis tools and methods. It is an open-source machine-learning platform that supports a variety of techniques, including deep learning, gradient boosting, and generalized linear models. It makes it possible for users to build and use sophisticated machine-learning models. 

Features of AI Tools That You May Not Have Heard of

Here are some of the benefits of AI tools besides ChatGPT or Jasper.

Analytics of Data

The capacity of AI systems to swiftly and properly evaluate massive volumes of data is one of its most important advantages. Large volumes of data from several sources, such as customer interactions, sales data, and social media, may be processed by AI systems. They can see trends and insights that people would be unable to, giving firms important information on how their operations are running.

Statistical Analysis

Moreover, AI technologies may be utilized for predictive analytics, which determines the likelihood of future events based on previous data utilizing data, statistical algorithms, and machine learning approaches. Businesses may use predictive analytics to foresee future trends and make wise resource allocation, product development, and risk management decisions.

Natural Language Processing (NLP)

Businesses may automate customer service interactions, such as responding to commonly asked queries and addressing complaints, with the aid of AI solutions that contain NLP. This can increase customer satisfaction while saving time and resources.

Analyze Images and Videos

In order to analyze visual data to find trends and insights, AI methods may also be utilized for picture and video analysis. Many uses, such as security, advertising, and product development, might benefit from this.

Detecting Fraud

AI tools may also be used for fraud detection, which entails identifying patterns of fraudulent conduct using algorithms and machine-learning approaches. This can assist companies in identifying and stopping fraud before it does major harm.


In conclusion, these numerous AI tools, including ChatGPT or Jasper, which are utilized for varied reasons, offer cutting-edge capabilities that can be tapped into by enterprises and organizations to improve their operations and the customer experience.