AI for the masses. OpenAI and ChatGPT

In the past decade, we saw many advances in the field of AI. With the launch of the latest GPT-3 architecture and the OpenAI project launched in cooperation by META and Microsoft, we can expect even more progress. This blog will give an overview on these latest advances and explain how they might change our lives. It will also describe briefly 10 most successful products and services that are available today based on GPT-3 and OpenAI.

AI for the masses is a revolution. It has made AI more accessible and it has pushed its wide-spread usage to a whole new level. With this unique technology, you can build applications that are faster, more intelligent, and seamless with an industry standard solution.

AI is an incredibly powerful technology that has the potential to change the world as we know it. It can help us solve problems that have not been solved before and improve our lives in countless ways.

Bjoern Hirtenjohann

ChatGPT

ChatGPT is a large language model developed by OpenAI that can be used for natural language processing tasks such as text generation and language translation. It is based on the GPT-3.5 (Generative Pretrained Transformer 3.5) model, which is one of the largest and most advanced language models currently available.

One of the key features of ChatGPT is its ability to generate human-like text responses to prompts. This makes it useful for a wide range of applications, such as creating chatbots for customer service, generating responses to questions in online forums, or even creating personalized content for social media posts like the featured image created entirely by AI (Golden Gate bridge with sunset in style of Van Gogh).

ChatGPT can be used for a wide range of natural language processing tasks. Some of the potential applications of ChatGPT include:

  1. Text generation: ChatGPT can be used to generate human-like text responses to prompts, which makes it useful for creating chatbots for customer service, generating responses to questions in online forums, or even creating personalized content for social media posts.
  2. Language translation: ChatGPT can also be used for language translation tasks. By providing the model with a text prompt in one language and specifying the target language, the model can generate accurate and fluent translations of the text.
  3. Text summarization: ChatGPT can be used to generate summaries of long documents or articles. This can be useful for quickly getting an overview of a text without having to read the entire document.
  4. Sentiment analysis: ChatGPT can be used to analyze the sentiment of a given text. This can be useful for understanding the overall tone and emotion of a piece of writing, or for detecting the sentiment of customer feedback in order to improve customer satisfaction.

Devops and OpenAI

  1. ChatGPT can be used to generate entire code snippets, it can be used to help document code or even make suggestions how to fix or improve code
Example of ChatGPT generating code

Top 10 AI-powered tools

There are publicly available apps that use AI to aid users and offer entirely new services. Here are my top 10!

  • Poised – AI-powered communication coach that helps you speak with confidence and clarity
  • Pragma – AI Assistant for Sales & Success with browser extension
  • Synthesia – Go from text to create realistic video content
  • Craftly – AI copywriting tool with large number of templates
  • Texti – ChatGPT embedded in your browser
  • Browse – Extracts data from competitor websites easily
  • Dall E 2 – Ground-breaking Text to Image platform
  • Copy AI – AI-powered copywriter that generates content
  • TheCom – Generates optimized webpages
  • TextA – Creates search optimized blog posts

A critical outlook

Although you the reader might be impressed but this technology is still in its early stages and it needs time to mature, become more reliable – and today is too expensive to be rolled out as widely commercially accessible products.

More importantly 2 aspects need to woven into the OpenAI based framework thoroughly. Security and also Responsibility. AI needs to be responsible in order for the technology not to become biased. Also as functionality and capabilities of AI systems advance, they need to be safe and secure for use, so any misuse or harm is avoided.

It is a small step for systems to be autonomous through the use of AI and here lies the risk for the autonomy to get out of control with unimaginable or severe consequences to our human life.

We live in exciting times and we all play an active part in shaping our future.

Let me know what you are thinking. Where do you see the next advances in AI being made? Do you know any other great tools that are based on AI?

If you are an organisation who is interested in leveraging AI and machine learning and looking for a partner, please do get in touch.

contact@risual.com

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