Recently, ChatGPT has drawn worldwide attention to itself. A tool that chats with you just like a human pal and enlightens you about approximately everything. All thanks to AI. Artificial Intelligence is no longer a futuristic concept as we all carry it in our pockets. Undoubtedly, new technology has streamlined a lot of tasks in our day-to-day life. There are organizations like OpenAI, working continuously on the evolving technology delivering new tools for the ease of people in day-to-day basic tasks. 

Today, this blog will talk about the AI implementations by OpenAI and how you can leverage this new technology for your app or software development. Let’s get started-

A Brief Introduction to Open AI?

OpenAI is basically an American Artificial Intelligence research company, continuously doing experiments in the AI field and delivering new tools & software to enhance the productivity of different businesses in different sectors. The research laboratory falls under the for-profit corporation OpenLP. The parent company of OpenLP is OpenAI Inc., which is a non-profit organization. OpenAI was founded in 2015 by Sam Altman, Peter Thiel, Elon Musk, Jessica Livingston, Reid Hoffman by collectively pledging $1 billion. Since its inception, OpenAI has introduced a number of new tools based on artificial intelligence.

Numerical insight into OpenAI

Following numerical insight can help you get a better idea about the broadness of the OpenAI- 

  • The firm’s revenue is expected to reach $200 million by the end of 2023, while it is likely to increase to $1 billion by 2024
  • The organization was reportedly valued at $20 billion in its secondary share sales. 
  • As of December 2022, Open AI has more than 21 million monthly visitors, 21% of which come from the US only. 
  • The official site of OpenAI ranks 1441st in the list of most popular sites worldwide. 
  • Around 43.63% of the website traffic comes from searches, while 48.98% of the traffic comes from direct links. 

Microsoft Corp. to invest $10 billion in OpenAI


Four years ago, Microsoft Corp. invested $1 billion in OpenAI, a startup co-founded by Elon Musk and investor Sam Altman. OpenAI is raising a funding round at a valuation of $29 billion, and Microsoft is again set to invest a hefty amount of $10 billion. This to-be-invested amount by Microsoft is 10 times its previous investment in the same organization. 

With this investment, Microsoft will get a 75% share of OpenAI’s profits until it makes back the money on its investment. After that, Microsoft will assume a 49% stake in OpenAI. It is hoped that money will be used to introduce further advancements in AI tools and eliminate Google dominance in the search engine market. 

Best OpenAI APIs to develop a mobile app

The APIs offered by OpenAI can help developers instill significant automation in the software and enhance the efficiency of mobile apps. There are a range of APIs that one can use to inject technological advancements into the software; however, the following can be the best choices for you- 


As we interpreted earlier in the section, DALL·E allows the users to create images from a rough textual description. The API can be easily integrated into mobile apps and software and transfigure creativity and ease of use for the target audience. Talking about some statistics, more than 3 million people are already using this API of OpenAI and generating over 4 million images every day.

Core Competencies of DALL·E API

  • Users can create high-quality custom images with textual descriptions. 
  • The API can generate images in different colors, styles, and resolutions. 
  • This API is simple to use and doesn’t require initial image creation or coding knowledge. 
  • Image generation is pretty fast and users can see the results in real-time. 
  • The API is cost-efficient and accessible for individuals, enterprises, and small businesses. 
  • The images are generated from an extensive collection, and users can choose the best one accordingly. 

2. GPT-3 API

Imagine anything with the language, GPT-3 can do almost everything. Whether answering random questions, grammatical corrections, summarization, commanding for text, or anything else, GPT-3 covers everything. Integrating your mobile app or software with GPT-3 API can elevate the usefulness of the software to the next level. At the same time, integrating this API into mobile apps and software is equally easy. 

Core Competencies of GPT-3 API

  • Question and Answer
  • Grammar Correction 
  • Text Summarizer 
  • Code generation with natural language instruction
  • Translate texts into programmatic commands 
  • Language Translation 
  • Natural language to Stripe API
  • SQL translate 
  • Parse unstructured data
  • Classify items into categories 
  • Python to natural language 
  • Convert Movie title into Emoji
  • Calculate the time complexity of functions 
  • Translate programming languages, etc.

3. Codex API 

Codex is another API introduced by OpenAI that enables developers to write code in natural language and then translate the input into working codes in different languages, including Python, JavaScript, and Java. This capability reduces the effort and time required to write code from scratch. At the same time, a person who has limited or no knowledge of the languages can also learn the technicalities.

Core Competencies of Codex API

  • Create codes with natural language instructions
  • Translate natural language to SQL queries
  • Explain a piece of Python code in the human-understandable language 
  • Python bug fixer 
  • Message style bot to answer JavaScript questions 
  • Covert JavaScript expressions into Python
  • Turn the Javascript function into a one-liner 

Codex is the successor of GPT-3 which is additionally trained on code from 54 million GitHub repositories. The organization introduced the innovation in mid-2021. According to OpenAI, this model can be used to create working code in dozens of programming languages while delivering the most effective results in Python.

Guide To API Development: How To Build An API?

Tools Powered by OpenAI

There is a range of tools that OpenAI has introduced periodically. Only some of these tools are upgradation of others while some of them deliver completely new services. Let’s have a glance over some popular tools incepted by OpenAI- 

1. GPT (Generative Pre-Training)

Alec Radford, with his colleagues, wrote an original paper on Generative Pre-Training of a language model and published it on OpenAI’s website on 11 June 2018. This paper interpreted how a language model can be pre-trained to acquire worldwide knowledge and thus process the long-range dependencies.

2. GPT-2 

When GPT managed to help the population with its innovative approach, it was time to take the model to the next level. As a result, OpenAI unveiled the new and upgraded model of GPT and named it GPT-2 (Generative Pre-Training Transformer). This upgraded version was announced in February 2019, and the organization released the complete version in November-2019. 

The new GPT model is based on Transformer architecture relying on the encoder-decoder principle and using the concepts like multi-heads and self-attention. GPT-2 is a significantly large language model with over 1.5 billion parameters and is trained on a dataset of around 8 million web pages. All of these datasets were diverse and thus could generate conditional synthetic text samples of the utmost quality. Therefore, by inputting the relevant words, one can get long descriptions and information with human-level accuracy. 

Besides generating the text, GPT-2 has simplified the process of developing chatbots for websites. Before the inception of GPT-2, it used to take months to design the rules and cover the different conversation topics for the chatbot. But GPT-2 has dwindled this time period to a few days.  

Machine Translation is another use case delivered by GPT-2. By implementing the zero-shot learning method, the language model is conditioned on the examples of pair format such as “english sentence=french sentence”. Thus, to translate the English sentence, input is given in the format- “english sentence =”. Then, the greedy decoding is utilized to generate the samples. 

Additionally, GPT-2 can also be used to summarize the texts and articles. Having a tool to summarize the bundle of important information in selected lines of text can be highly useful for all industries.

3. GPT-3

Taking another step in the ladder of the GPT model, GPT-3 is the successor version of GPT-2. It is an unsupervised transformer language model. The new version was introduced in May 2020, carrying more than 175 billion parameters. The upgrade managed to instill meta-learning in the language model. The results were significantly improved when comparing GPT-3 to the capabilities of GPT-2. 

Talking about the practical application of GPT-3, businesses could significantly use it to automatically generate responses to customer inquiries and thus save a lot of time and cost. It can also be used to create reports on varied topics and stay updated about the latest information. 

At the same time, knowledge management is also a core application of GPT-3 as employees can gather and use the knowledge they need to make particular decisions. The new model is also helpful in analyzing the sentiment of text data. So, businesses and firms can easily understand the sentiments and intentions of their customers and thus make better decisions. 

As GPT-3 is capable of understanding natural language data, it makes it easier for the users to extract insight and essential information from pre-written texts. Along with it, you can also use GPT-3 for language translation, thus allowing the companies to communicate with their customers coming from multiple backgrounds.

GPT-3 is also highly recommended for building predictive models and thus assists companies in making smart future decisions.

4. GPT-3.5

GPT-3.5 is basically a fine-tuned version of GPT-3 which was developed in January 2022 with 3 different variants each with 1.3 billion, 6 billion, and 175 billion parameters. This version is also known as InstructGPT and has been trained on the same dataset as GPT-3. However, the biggest update in this version is the new concept called “reinforcement learning with human feedback”. The implementation of this concept allows the GPT to use AI and learn from human feedback to enhance the machine learning algorithms. 

5. GPT-4

It is the latest version of ChatGPT, 10 times more advanced than GPT-3.5. GPT-3.5 had a token limit of 4,000 which was equivalent to 3,135 words. On the other hand, GPT-4 has a token limit of 32,000 which is equivalent to 25,000. Moreover, GPT-4 can even respond sensitively to its user with expressions of sadness and frustration. However, this version of ChatGPT is the paid one as users will have to pay a subscription fee of $20 every month to enjoy the conversation full of information. 

6. ChatGPT

Launched in November 2022 and achieved more than a million users within 5 days, ChatGPT is one of the latest tools revolutionizing the content industry. The operational model of the tool has been the point of attraction for the users. There is no doubt that talking to some formally or informally is the easiest way of getting information. ChatGPT lets you do the exact same. 

With ChatGPT, you get conversational information where you can put commands, ask questions, request information, rephrase texts, and much more. The core competency of this model is that you can interact with it just like a human pal. Helping users create any kind of content within seconds, it is being widely used by varied industries for different purposes. From writing emails to understanding an entirely new concept, ChatGPT covers every aspect of content generation.

Real-time implications of ChatGPT are but not limited to-

  • Get the answer to your question about any landscape or industry.
  • Generating Prompts for Artificial Intelligence generators has become significantly easier. 
  • Searching for the right content on Google or other search engines might be hectic as you will still have to filter out the information from millions of generated results. ChatGPT, on the other hand, delivers the content you need at once. 
  • It might be hard to believe, but ChatGPT makes AI app development tasks much easier for you. The tools can give you the complete code for developing the applications according to specific scenarios. 
  • If you lack creativity, ChatGPT has got your back. You can generate funny dialogues, captions, formal sentences, and much more with a few taps on ChatGPT. 
  • Emails are part of our daily life, but writing 100s of emails every day is a real headache for all of us. ChatGPT makes the task significantly easier for us by generating professional emails within seconds with 100% accuracy. 

7. Music tools 

OpenAI has yet to introduce innovations in the language and content writing landscape but has also explored the music scenario. MuseNet, introduced in 2019, is a deep neural net trained to predict the subsequent musical notes in MIDI music files. MuseNet can generate songs in fifteen different styles from ten other instruments. 

Another musical tool introduced by OpenAI i.e., Jukebox, was launched in 2020. It is based on an open-source algorithm that generates music with vocals. The platform is trained by more than 1.2 million samples and now accepts a range of genre, artist, and lyrics snippets to output the sample of song. 

8. Whisper 

Another innovation of OpenAI is Whisper, basically a general-purpose speech recognition model. Whisper is trained with a large dataset of different audio. One can leverage multiple tasks efficiently with Whisper, including multilingual speech recognition, translation, and language identification.

9. DALL-E and CLIP

DALL-E was launched in January 2021 as a transformer model. The core competency of this model is that it creates images from textual descriptions. So, what is in your mind can also be presented on the screen. 

CLIP, on the other hand, is just a reverse model of DALL-E. Here, by putting the images, you can get the textual descriptions of what is portrayed in the picture. The model uses 12 billion parameter versions of GPT-3 to deliver the natural language inputs.

10. Codex

General Benefits of Developing an App with OpenAI’s API

Other than the dedicated benefits of different OpenAI APIs, there are some mutual benefits that one will leverage while using an app equipped with artificial intelligence- 

1. Better decision-making and automation

Data analysis becomes more efficient with advanced AI algorithms. By analyzing the patterns and trends in customer’s feedback, businesses get crucial data about their performance in the market. Using this insight, they can make the right decisions to elevate their productivity further. 

2. Enhanced Customer Service 

OpenAI’s API can be used very effectively to build chatbots. Using the advancements of artificial intelligence in the chatbot allows businesses to address the queries and problems of their target audience effectively. The practice helps significantly to ensure enhanced customer service.

3. Elevate efficiency 

OpenAI’s API can easily automate repetitive tasks and save businesses a lot of time and money. For example, a language model API can summarize financial reports, and thus analysts can focus on more crucial tasks. By enabling the efficient utilization of resources, these APIs elevate the efficiency of businesses.

4. Cost saving

OpenAI has free-tier options and usage-based plans, making the technology much more affordable for enterprises of all sizes. At the same time, the software can be used to deliver repetitive and language tasks in no time. Thus, it saves a significant amount of labor cost. This makes the OpenAI APIs a marvelous cost-saving resource for businesses. 

5. Secures Competitive Advantages

 With different APIs, businesses can remain updated with the latest content and news articles. By providing insight into new topics, firms can quickly grab the target audience’s attention and maintain a high branding for themselves. At the same time, by analyzing the data and insights, firms can make informed marketing and sales strategies. These practices secure the competitive edge for the businesses, assisting them in walking ahead of their rival companies. 


How to Develop Mobile Apps with Open AI APIs?

Be it GPT-3, DALL·E, or Codex, all the APIs have unique functionalities that add the significant capabilities of a mobile app or software. Not only does it help to elevate the user experience with the application, but integrating these APIs is also very feasible. Going straight to the development process of mobile apps using these APIs, includes the following steps-

1. Brainstorm your idea of app development

As we studied above, there is a range of functionalities that you can integrate with your app via OpenAI APIs. Each one of them delivers a different purpose for the users. So, you must dive into the market research and pull out the idea for developing your AI-based mobile app. Here, you can focus on problems you wish to address for your target audience and choose the type of app that can do the same.

2. Perform in-depth competitive analysis 

To expect a good return on investment, you will have to make sure that solution you are planning to provide can compete with the existing apps and software. Please go through the competitors of your app, the features they provide, their pricing, as well as the target audience. Look for the gap where you can turn the audience toward your solution and achieve competitive advantages.

3. Finalize the features to provide in the app

Features are the fundamentals of any app or software. Make a list of features you wish to include in your app. Ensure to instill a unique selling proposition in your app via the features. These features are going to define the capability of your app and thus the usefulness of software for the target audience. Undoubtedly, the app development cost is directly proportional to the number of features, but you must maintain the necessary features while developing the app. 

4. Select the right model from OpenAI to integrate into the app

Once you are done with developing the idea and deciding about the features, it is time to select the suitable model from OpenAI and integrate it into the app. 

  • First of all, you will choose from a range of models provided by OpenAI, which include Codex, DALL.E, and GPT-3. 
  • Then you will sign up on the official OpenAI website to get the API key. 
  • After getting the API key, the developer starts programming according to the language and technology of predefined needs. 

5. Testing of the app

When the developer is done with the development phase, the testing team will test the app multiple times to debug the software. Having bugs in the app can completely ruin the user experience. Identify as many bugs as possible and remove them from the application. 

6. Deployment 

The final stage is deployment. Launch the app on the respective platform (Android or iOS) and make it available for the target audience. Your app development partner will do the deployment of the app. 

Tech Stack for an AI-equipped Mobile App 

Other than the OpenAI APIs, you can use the following technologies to build a mobile app- 

Categories Details 
Languages Python PHP JavaRuby Swift Kotlin C++
Cloud Amazon Web Services (AWS)Google Cloud Platform (GCP)Microsoft Azure 
Frameworks React Native TensorFlow FlutterPyTorch
DevOps Tools Git Docker Jenkins 

Full Stack Mobile App Development: Complete guide

How Can Emizen Tech Be the Helping Hand, and Why Choose Us?

A proficient app development partner is crucial for the performance of your mobile application. At the same time, when your vision is to integrate the OpenAI APIs into your mobile application, it becomes even more vital to give your project to experienced hands. Here, Emizen Tech can be the best fit for you. As an App development company, we have over a decade of experience in app, website, and eCommerce development. This long journey has helped us achieve expertise in the IT industry and, thus, deliver top-notch technological solutions to our clients. The reasons to choose us are but not limited to-

  • Experience of more than a decade 
  • Pre- as well as Post-Service support 
  • 200+ members working in the team 
  • More than half workforce is experienced 
  • All technologies under one roof 
  • Cost efficiency 
  • Commitment to time and pricing 
  • Smoother communication 
  • In-Depth industry knowledge

Summarizing Up

Artificial Intelligence has been transfiguring user experience for a long time, and it is high time that we leverage the new concept in our mobile gadgets. OpenAI organization is continuously working on the technology and has introduced several tools to deliver high-end user services. From generating images with textual descriptions to getting worldwide information with a couple of keywords, the capabilities of these tools are exceptional. 

OpenAI allows developers to instill these advancements in mobile apps with the help of APIs. We discussed three different APIs viz. Codex, GPT-3, and DALL·E with their attractive functionalities. Emizen Tech can help you build cutting-edge mobile applications and solutions equipped with the strengths of these AI APIs. 

Get in touch with Emizen Tech and step into the changing landscape by developing your mobile app powering AI capabilities.

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EmizenTech's Mobile App Development team is led by Naren Bhati, who designs and develops technically innovative solutions for our global clientele. He has the technical expertise to steer our app development team on the right path.