Aside from being integrated into Bing, Microsoft announced that its low-code Power Platform developer suite now includes ChatGPT. This comes after reports of Microsoft’s investment in its partner company, OpenAI, and ChatGPT-powered Bing search.

Due to its capacity to produce impressively complex textual outputs in response to straightforward prompts, ChatGPT, a large language model (LLM), has become popular. Businesses are now hoping to profit from its influence. More native AI models will likely be included in other low-code development environments across the industry as a result of Microsoft’s inclusion of ChatGPT in its Power Virtual Agents and AI Builder tools.

In the world of generative AI, however, not everything is perfect. Users have compiled a long list of ChatGPT failures, including numerous attempts to end journalistic marriages as well as simple math mistakes, inaccurate information, and social biases. Although AI appears to be self-assured, the “hallucinations” it generates can be mind-bogglingly off-base. Such errors could result in false suggestions that confuse users and even damage a company’s reputation if they persist in production use cases.

Let’s discuss the implications of this new paradigm of AI-driven development below, as well as the advantages and disadvantages of including LLMs in low-code development frameworks. We’ll also discuss some things leaders should keep in mind as they try to use this new technology, as well as how it might upset the competition.

Advantages of Integrating ChatGPT

Low-code development platforms ( LCDPs) are masters at breaking down complex functionalities into manageable parts. To enable both amateur programmers and experts, they frequently provide drag-and-drop capabilities and reusable templates. Additionally, integrating ChatGPT into such a low-code environment could have many advantages.

ChatGPT, for instance, can be used to build chatbots that connect to internal company data and public company resources as a feature of Power Virtual Agents. Users may be able to create contextually aware AI that is trained on company documents with ease thanks to this.

With deep inferences and guidance, using AI in low-code can encourage development. Through improved auto-completeness and intelligent insights, such AI assistance can significantly speed up development efforts. It can quickly produce boilerplate code and generate suggestions that are more tailored to the task at hand than your typical static templates.

A company’s documents could be used to train AI-based chatbots that are much more valuable than an off-the-shelf model without context. An in-house trained AI could be useful for summarizing business data and automating manual support tasks in the area of customer service. By making it possible to create such chatbots with little code, advanced AI is made available to a wider audience. Overall, this has the potential to speed up development, particularly for mobile interfaces, workflow automation, and contextually aware chatbots.

What This Means for the Low Code Space

The market has been rushing to react to ChatGPT. Tech behemoths have received conflicting feedback when introducing their own generative AI. Some people, including us, are left wondering how AI and low-code will coexist in this new era. Will the use of traditional or “codeless” programming be completely replaced by natural language-driven code generation?

This is still up in the air. The most likely explanation, however, is that these recent developments will improve LCDP design and use across the board in the software sector. A few ways that AI can improve LCDPs include improving the developer experience, developing specialized ML models, and creating more intelligent end-user experiences.

However, given that Microsoft is investing billions in AI research and development, mid-sized low-code platforms may find it difficult to keep up without their own AI-driven workflows. As a result, LCDPs that don’t have their own strong AI might lose out on new subscribers. Additionally, engineers who want to develop AI models based on internal datasets might prefer to use a more comprehensive cloud technology suite that stores their data locally.

Disadvantage of AI-Based Programming

Although ChatGPT and other generative models are incredibly impressive, the outcomes are not entirely reliable. Additionally, the use of ChatGPT within PowerApps is still experimental at the time of writing, which is typical of both generative AI in general.

Given the possibility of errors, this doesn’t look good for programmers who rely on its outputs. Because even though ChatGPT’s results appear authoritative, they were created using information gleaned from the public web, which frequently has flaws, mistakes, and inefficiencies.

ChatGPT’s results might even suggest features that are completely nonexistent! Unfortunately, the geocoding API provider OpenCage currently has a problem with this. For specific prompts, ChatGPT frequently advises users to use OpenCage’s “phone lookup service.” However, OpenCage does not even provide this feature. The team even had to issue a statement outlining what happened after receiving so many complaints from irate developers.

The goal of AI code generation is to create and organize prompts and debug errors rather than hardcoding. Additionally, even though it improves programmers’ agility, it doesn’t address all software development issues, specifically the DevOps side of the equation. Deploying code and putting together an ideal architecture will still be difficult. Additionally, careful security planning is needed for code automation that loops in third-party dependencies as a result of growing software supply chain vulnerabilities. With any software, there is also a chance that modifications will be broken and ongoing maintenance issues will arise.

Low-code governance must be properly secured, which is another crucial factor. Users of no-code businesses might lack the security oversight necessary to comprehend the effects of creating new services. Additionally, the technical ramifications become more serious when AI is included. Bots have been found to express anger and irrational ideas when poked and prodded, and AI can lead to ethical violations.

What Does This Mean?

AI models like ChatGPT are not perfect. In fact, there are times when they sprout pure nonsense. And even though some models currently do this, they actively accept feedback and undergo retraining. Their outputs will get better over time. Engineers should be aware that they are still being experimented with, though, for the time being. Therefore, businesses should exercise caution and first test new AI innovations on internal operations. And in order to prevent abuse and misconfigurations, AI adoption must be carefully controlled.

Integration being good or bad is neither here nor there. The future is now, and AI is here. Developers still have their work cut out for them, despite the fact that some coding barriers are being removed. Low-code solutions that provide common software delivery pipelines and centralized collaboration features benefit from this reality. Both parties should fare fairly well in this new era if LCDPs can keep up with AI and incorporate it into their workflows.

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This blog is a continuation of Scott’s experience with ChatGPT in the video above. We wanted to explore the AI more in terms of its new iteration, ChatGPT-4 and how it can impact web development and SEO.

As we have done in the past video, Scott begins by asking the AI a question, this time about the difference between ChatGPT and ChatGPT-4. Aw we have said before, the AI is witty, this time we also discovered that it is surprisingly honest.

What is ChatGPT-4?

The AI replied that the current version is a more powerful version of its predecessors. It has “multimodal” models that allow for different types of content generation such as video. It has the ability to understand text and image inputs and it advances the technology used by ChatGPT which is currently based on GPT-3.5.

This is clearly exciting and something to look forward to. However, it is only available with the subscription in OpenAI.

Bing has integrated this chat feature and its growing in popularity which is why we decided to have a look at what’s the growth of Bing versus Google using the chat function, and the results were interesting. As reported by the chat bot, Bing has been jumping up in its user growth. Google is still clearly in the lead but it did improve significantly considering that Bing also powers Yahoo’s searches.

Google has a commanding 83.4% share in the market but this is down from 89.95% from 3 years ago. During the time period, Bing has grown from a measly 3.99% to 8.88%. Bing is clearly the underdog but it is the rate of innovation that’s very surprising. This is exciting and we wonder how Google will react.  

We also looked at ChatGPT’s impact on software. OpenAI will be making GPT-4 available as an API to build applications and services. There are already companies that have integrated GPT-4 such as Duolingo, Be My Eyes, Stripe and Khan Academy. Most of these are language companies Duolingo and Khan are tutorial-based companies that can take advantage of ChatGPT’s natural language processing while Be My Eyes is an app for blind people. Stripe as a payment gateway probably uses the AI to personalize user experience.

Microsoft also confirmed that versions of Bing using GPT had in fact been using GPT-4 before its official release. This is probably part of their testing process.

ChatChatGPT vs Google?

According to Microsoft, the AI already has around 100million users which sounds promising as they are growing quickly. ChatGPT currently has a subscription model where you can pay for priority access and newer versions of the AI.

GPT-4 features image access which was part of the answer generated by the AI. It sent us very informative links which is very helpful.

It appears that according to Microsoft, searchers are happy with Bing’s AI powered results despite technical glitches. The AI sent us to a page where it reported that 71% of users gave a thumbs up to the results generated by Bing. This is very encouraging for Microsoft and Bing considering that ChatGPT is still in demo mode.

There are also users who use the AI for fun and try to trick it. Users report that it seems that the AI has multiple personalities, gets confused when you have long conversations which is probably why the creators have now limited it to answer a certain number of questions.

We also asked the AI regarding its reviews and it gave us an honest answer stating that it has received mixed reviews. It even went on to write that the chatbot is argumentative and contradicts itself. However, majority of the response is still positive.

The AI’s popularity will prove to be challenging for companies like Google which is good for competition and innovation.

Takeaway

ChatGPT is definitely something that we can use in software projects especially when it comes to marketing and SEO.

Overall, we are definitely intrigued by ChatGPT. It is something we want to keep an eye on and will continue to use and experiment with. This has clear implications on SEO and marketing especially when it comes to research. It will also have a big impact in content creation and can be used to generate content for social media and websites.

ChatGPT will also make repetitive tasks easier for developers. For instance, automated tasks like debugging and testing can be delegated to the AI, allowing developers to focus on other matters like SEO and conversion rate optimization.

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What is ChatGPT?

ChatGPT is basically an AI chatbot that was launched November of last year. According to OpenAI this which created the AI, it’s “trained to follow an instruction in a prompt and provide a detailed response.” This means that you type prompts in question form and the AI will return with answers.

So how did it go for us?

The Bing ChatGPT Experience

There’s a lot of publicity with ChatGPT so we were naturally curious as to what it’s all about. They actually put us on the wait list and the test program so we were excited to check it out and whether it was living up to the hype.

However, the Bing ChatGPT feature is not just about search results. It also delivers ideas that you can use for brainstorming. We found ideas for writing a poem, planning a fishing trip and writing a story. These suggestions can be meaningful to those who are looking for this kind of assistance.

Next, we went to the chat tab where it shows you what you can do with it, what questions you can ask. We picked current affairs. We asked it why SVB Bank crashed and unfortunately, it just came up with general search results first. It wasn’t very helpful. It told us that the bank crashed but it did not say why.

So, we decided to ask it a follow up question, insisting to give us an answer to the question. This is actually a cool feature because it remembers what the topic is. It is a bit frustrating that we had to ask again, but the AI did eventually give us an answer which we thought was more relevant.

We even asked if “it would happen again” and ChatGPT actually came up with a witty answer “maybe if AI was running the finance system it might not have freaked out so much, but people freaked out at the same time and that’s the problem here”.

We find it interesting that the AI would not answer questions directly off the bat, but follow-up questions gave applicable results which can help us avoid going to different websites and do lots of research.

We then decided to ask GPT to find a local restaurant by typing “what is the best vegan restaurant near me” in the chats. The AI came up with results in the city but it wasn’t close to our location. We found that it’s not really helpful when it comes to local search results because it does not know where we were.

However, if you were interested in the restaurant, ChatGPT would give you an idea of what their menu is like. It also gave us interesting results like vegan pancakes links which takes you to the search results embedded in the answers it gave us.

Our Thoughts

Chatting with an AI is very fascinating. ChatGPT was able to give us relevant answers and the best part of the experience was being able to chat and ask follow-up questions. The actual answers themselves aren’t very forthcoming but it will improve. It will take some time but it will eventually evolve and become better as time goes by.

For now, ChatGPT is a useful tool and will give Google a run for their money. Hopefully they will come up with something similar.

You can watch Scott and his review on Bing’s ChatGPT below.

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