ChatGPT, or Chat Generative Pre-Trained Transformer, has been taking the world by storm with its impressive ability to generate texts that sound human. New use cases are emerging every day, and a growing number of businesses are looking into integrating this AI-powered chatbot into their workflows.
Microsoft Azure will soon offer ChatGPT as part of its cloud services, an addition that could change how businesses use language learning models.
- There is a strong connection between ChatGPT and cloud computing since OpenAI used the cloud to develop this product.
- Microsoft Azure will soon roll out ChatGPT to its users.
- Integrating ChatGPT into an existing cloud-based infrastructure will make the tool more accessible and open up new possibilities.
- Possible use cases for ChatGPT in cloud computing include automating code debugging, generating highly-personalized promotional messages, answering customer questions, summarizing important documents, and much more.
ChatGPT is a chatbot developed by OpenAI. This innovative AI company developed an extensive language-learning model to power this chatbot. This model uses a mix of machine learning and deep learning methods to create texts that sound natural.
Attention techniques set this model apart from other AI products. It’s an innovation that allows ChatGPT to assign different values to the words and phrases a user enters. Attention techniques help the AI focus on the most relevant elements of a query to create an answer that reflects what matters the most to the user.
Unlike other AI-powered language models, ChatGPT stores conversations. Since the chatbot can draw on past conversations with a user, it’s possible to issue follow-up queries and have an entire conversation where the chatbot gives contextual answers.
Running the extensive language learning model that powers ChatGPT isn’t possible without cloud computing power.
OpenAI has been using Microsoft’s Azure cloud computing platform to develop and run this model. This fast cloud computing service allows the AI-powered tool to leverage more resources as needed.
In November 2021, OpenAI and Microsoft formed a partnership. The goal is to bring ChatGPT to Microsoft Azure cloud users.
According to cloudwards.net, the cloud computing industry was worth $371.4 billion as of 2020. Introducing ChatGPT in cloud computing will create even more use cases for cloud-based tools and help businesses get more out of their cloud-based infrastructure.
Microsoft is currently giving access to the large language learning model behind ChatGPT to a select group of Azure cloud users. The plan is to roll out ChatGPT, Codex, and DALL-E to all Azure cloud users in the near future.
Google also plans to develop its own chatbot and might roll out this feature to its cloud platform. Amazon hasn’t made any official announcements yet, but AWS employees have been experimenting with ChatGPT to create code, answer complex questions from customers, and develop training material.
Microsoft Azure stands out as one of the best cloud computing services for users who want to leverage ChatGPT, but other platforms will likely catch up soon.
Making ChatGPT a part of your cloud-based workflows will open up new possibilities. Here are a few examples of use cases.
ChatGPT does more than generate texts. The AI-powered chatbot can write code or debug existing code.
Using ChatGPT as a built-in tool for your cloud-based infrastructure could help developers automate code testing and debugging. ChatGPT could also automatically generate notes when developers roll out new code or make changes to existing code to reflect the latest updates to your infrastructure.
Automating text generation is another noteworthy use case. Real estate agents are already using ChatGPT to write descriptions when uploading new listings. E-commerce stores could use a similar approach to automatically create product descriptions when extending their inventory.
Thanks to its memory feature and attention techniques, ChatGPT can create natural and engaging texts.
Using AI-powered chatbots in customer service isn’t new, but these bots often use a repository of pre-scripted answers that can feel impersonal or unhelpful.
ChatGPT could transform the use of chatbots in customer service. Running this bot in the cloud would facilitate integration with the different channels customers use to interact with a brand.
The bot could assist customers with complex issues, answer questions, and provide a positive experience. Running in the cloud would also allow ChatGPT to communicate with different processes and send requests for order cancellations, refunds, warranty claims, product returns, and more.
Beyond customer service, these human-like interactions could become a valuable training tool for new hires, especially as more companies adopt a remote or hybrid model where new employees might not be able to interact with their colleagues.
The ability to generate content in real time is valuable for brands that use personalization as a differentiator. Personalization has been a relevant trend for years, with marketers using practices like audience segmentation to tailor the content they deliver based on a customer’s profile and preferences.
ChatGPT can take personalization further by offering a cost-efficient method of creating content that would be unique to each user.
For instance, ChatGPT could present personalized shopping recommendations with highly-personalized copy that resonates with the customer or even generate personalized branded emails.
The chatbot’s ability to inform users will also result in a more personalized experience. Since ChatGPT can remember previous queries, this chatbot can deliver highly contextual responses and facilitate the information-gathering phase of the buying journey.
ChatGPT can analyze large amounts of text or datasets and generate summaries. It’s a valuable feature that could transform several cloud-based processes.
With more organizations relying on cloud-based collaboration tools, integrating ChatGPT into a cloud infrastructure could help employees summarize email threads, meeting notes, and more.
ChatGPT could also summarize longer documents such as contracts, warranties, service level agreements, company policies, and more. Instead of having to skim through a cloud-based repository of documents, employees could turn to ChatGPT to ask for a summary.
Summarizing customer service tickets is another use case worth mentioning. ChatGPT could summarize requests to reduce the workload of customer service representatives. It could also summarize previous interactions with a customer to provide customer service representatives with more context.
Microsoft Azure rolling out ChatGPT to its cloud service will make the AI-powered chatbot more accessible and will allow businesses to explore new use cases.
From automating repetitive tasks to changing the way brands provide customer support, ChatGPT has the potential to transform almost every business process.
Mauricio Prinzlau is the CEO and Co-founder of Cloudwards. He is at the helm of the company and steers a team of editors, writers and designers from all around the world.