AI models can now beat professional chess and Go players, create art, music, and poetry as creative and unique as made by human artists, and have natural conversations with users, among many other recent advances. And this is still the start! As time goes on, these models will improve and become more “intelligent”, allowing them to tackle progressively difficult issues. But isn’t it unfair if only people with expertise in data science and AI can benefit from these ground-breaking AI models? Businesses of all sizes, from startups to Fortune 500 corporations, in both the creative and technical fields, stand to benefit greatly from the potential and influence of these models. Additionally, the power of such AI models can be utilized without the need for a plethora of advanced AI courses or the employment of AI scientists. With the help of the API, you can call these models from your own program and have them work in tandem with your other programs with a single line of code. Simply put, you don’t need an in-depth understanding of AI or the model to add features like audio transcription, image generation in response to text prompts, sentiment analysis, object detection, and the creation of individualized chatbots. There has been a massive rush of businesses offering such APIs for low prices (or even for free) as more and more businesses incorporate AI applications into their business strategies. Let’s have a look at some of the most popular AI APIs on the market today.
Since its inception in 2015, OpenAI has been providing powerful and cutting-edge artificial intelligence APIs for processing data across a wide range of data modalities, including text, video, and images. It has recently made headlines for developing ChatGPT, a conversational AI tool that provides comprehensive and precise responses to user questions on a wide range of subjects. OpenAI is a for-profit research laboratory devoted to developing AI in the service of humanity. They have built all of their APIs and models with this end goal in mind. Their innovative GPT series architecture is the foundation for most of their natural language processing APIs. Among their other innovative APIs are Dall-E, which can generate images in response to text prompts, Codex, which can translate natural language into any programming language, and CLIP, a computer vision API that can handle a wide range of images under the supervision of natural language.
Microsoft’s Cognitive Services is an application programming interface (API) platform that includes artificial intelligence APIs for processing speech, language, vision, and decision datasets. These APIs can be used to perform tasks such as speech-to-text interconversion, sentiment analysis, computer vision, and anomaly detection. The language-dependent applications are integrated with a varied selection of languages from all cultures, which makes it easier for businesses to make their products suitable for a certain region. The objective of Microsoft’s Azure Cognitive Services is to provide developers with tools that will enable them to build software that is able to see, hear, talk, understand, and even start to reason. The application programming interfaces are housed within Azure, which is Microsoft’s own cloud computing service.
IBM Research has developed a platform for API calls and integration in distributed, cloud-based, and edge-based environments called Distributed AI. This computing paradigm eliminates the need to move large volumes of data and allows for the analysis of data right where it is generated. They offer application programming interfaces for processing numerous forms of information, such as text, images, videos, sensor data, network traffic, and time series. There are now six APIs available on the platform: the CoreSets API, the Federated DataOps API, the Model Fusion API, the Model Management API, and the Model Compression API.
The Vertex AI API platform from Google offers a unified user interface and application programming interface (API). Users have the option of employing Google’s cloud computing infrastructure to train and evaluate models using either AutoML or a training method of their own design. They provide APIs that have already been trained on data in a variety of domains, including vision, video, natural language, and others. Open-source artificial intelligence frameworks such as Tensorflow, PyTorch, and Scikit-Learn are supported by Vertex AI Workbench. Additionally, the platform is connected with BigQuery, Dataproc, and Spark to facilitate easy deployment. Vertex AI provides a comprehensive selection of services, some of which include object detection, language translation, and sentiment analysis.
AWS AI Services
Amazon is well-known for its heavy reliance on AI models across all of its services in order to speed up business operations. They have released these AI tools to the public in the hopes that they will spur more development and invention among enterprises and professionals. Chatbots, fraud prevention, defect detection, computer vision, and automated code reviews are just some of the complicated activities that may be tackled with the help of the APIs offered by AWS AI. Polly is a text-to-speech converter, Transcribe is an audio transcriptor API, Lex is an updated chatbot tool, and Rekognition is a computer vision API for detecting objects, recognizing faces, and other image analysis tasks.
With Cohere‘s Natural Language Processing Application Programming Interfaces (APIs), you can use the strength of language comprehension to rapidly produce, classify, and arrange text at scale. Since its 2019 debut, Cohere has attracted the backing of some of the world’s most renowned experts in artificial intelligence (AI) and raised a substantial amount of investment. Their products fall into three categories: classify, generate, and embed. Intent detection, subject categorization, and sentiment analysis are just a few examples of how Classify can be put to work in order to make sense of the input text. When it comes to extracting insights from the input, Generate gives updated text or a text summary of the dataset, while embed incorporates techniques like semantic search and topic modeling.
Wit.ai, which has since been bought by Meta, offers an application programming interface (API) named Composer that facilitates conversational interactions between users and the company’s products. The APIs’ primary focus is natural language processing, and it is this technology’s integration with bots, mobile apps, smart home devices, and wearables that makes it so versatile. They also offer a dictation API at POST/dictation for audio transcription. They have open-source APIs that work with a myriad of languages spoken around the world. There are application programming interfaces (APIs) available for converting unstructured messages into a more manageable format and for forecasting a series of events using the knowledge gained from the collected data. When compared to the other platforms on this list, wit.ai stands out because its APIs are free of charge.
The API offered by Rev AI allows for very accurate speech-to-text conversion in both audio and video formats. With 36 different languages to choose from, the API has been trained using the largest collection of human voices ever assembled. Additionally, in addition to real-time streaming conversion, they also offer asynchronous conversion. Created in 2010 by a group of individuals at MIT, Rev AI is a voice processing API with a stellar reputation for superior accuracy compared to industry leaders such as Amazon, Microsoft, and Google. Additionally, the API offers features such as language detection and subject extraction in addition to sentiment analysis.
AssemblyAI is a newly released audio and video processing API platform that offers a speech-to-text conversion API to enterprises, startups, and software developers. More than 21 language options are available for both asynchronous and streaming transcription. Audio intelligence services such as summarization, content moderation, topic detection, sentiment analysis, personally identifiable information redaction, and more are also available. Thanks to the positive reception of their initial API release, they have attracted the attention of big investors and are now preparing to provide further APIs for the integration of various datasets.
Stability AI is another option for image, language, audio, video, 3D, and biological APIs. Recently, the Stable Diffusion model has garnered a lot of interest for its capacity to generate unique and imaginative graphics based on text cues from users. This ability has caused the model to attract a lot of attention. In addition, users have access to more advanced functions such as inpainting, outpainting, cropping, and more. Furthermore, the team has made the model’s source code publicly available so that other developers can reap the benefits of using it.