ChatGPT 5: Ultimate Guide on New Updates

Introduction

The landscape of artificial intelligence is evolving quickly, and at present, language models stand out as the key drivers behind AI tools and significantly influences how we perceive and use artificial intelligence in our daily lives.

Originally emerging as a free chatbot, OpenAI's ChatGPT has evolved into a pivotal tool for both business applications and everyday conversations.

As the tech community eagerly anticipates the speculated release of ChatGPT 5, enthusiasts worldwide are curious about potential enhancements and features that could elevate our interactions with OpenAI's advancing technology.

In this comprehensive guide, we will delve into the latest updates, offering insights into the current Chat GPT models and providing an exciting preview of what to expect from the upcoming ChatGPT 5. Get ready for a guided exploration of the evolving landscape of AI.

Current Chat GPT models

Currently, OpenAI offers users two versions of ChatGPT—GPT 3.5 and GPT 4. This highlights OpenAI's commitment to improving AI conversations and highlights their efforts to enhance the functionality of these language models for more effective and engaging interactions.

ChatGPT 3.5

ChatGPT 3.5 is a free AI tool known for its impressive language skills. It is great for generating responses to prompts used by professionals like software developers. In addition, GPT 3.5 assists many business with tasks such content creation, code queries, language translation, and general knowledge.

Besides casual and professional interactions, ChatGPT 3.5 serves as an interactive learning resource across a variety of topics that supports discussions, idea generation, and assistance in support seeking.

With that being said, users should be aware of the potential limitations of GPT3.5.

Some of these limitations include difficulty in maintaining context during lengthy discussions which may result in incoherent and unreliable responses.

In addition, on occasion ChatGPT 3.5 struggles with prompts that are ambiguous in nature which may produce results that does not align with the user’s original question.

ChatGPT 4

In contrast, OpenAI introduces an upgraded premium AI too in the form of ChatGPT 4. This tool is available via a monthly subscription.

Although it comes at a price, ChatGPT 4 offers heightened intelligence, as well as a more extensive knowledge base, and the ability to analyze diverse data types like text, images, and graphs.

This premium version caters to users who are seeking a more advanced and flexible AI tool. In addition, it provides an effective and efficient experience using its diverse set of analytical tools.

Overall Notes

Mastering new tools, especially in the digital age, can be challenges. If you're seeking help or advice on using ChatGPT and other AI tools, or if you're exploring different software solutions, it's crucial to find a trustworthy and dependable software partner.

Having a reliable partner can assist you in navigating the learning process and ensure you get the most out of these tools.

Ultimate Guide on ChatGPT 5 SPeculations

As the excitement around GPT 4 reached its peak, users naturally began speculating about the next leap in AI technology – ChatGPT 5.

Despite OpenAI sharing little information on the official development status of GPT 5, rumours have been circulating, hinting at ongoing efforts behind the scenes.

The speculations surrounding ChatGPT 5 strongly suggests that the overall objective for this upgraded tool is to enhance its language model to focus on improving precision and effectiveness.

1. Precision and Effectiveness

The focus on precision and effectiveness is a key consideration for software experts. This entails improving GPT-5's ability to understand and make sense of user inputs, ensuring that conversations are authentic and dependable. In other words, the objective is to provide users with a smoother and more efficient interaction than previous models and elevating the overall experience between users and AI tool.

2. upgraded knowledge base

Moreover, ChatGPT 5 is expected to feature an enhanced knowledge base. This improvement aims to further strengthen ChatGPT 5's proficiency in delivering precise and insightful responses across complex scientific theories as well as lesser-known subjects aligning with the increasing need for AI models capable of providing accurate information across a wider range of topics.

3. Nvidia GPUs and audio and video Assistance

Nvidia GPUs, known as Graphics Processing Units, are specialized hardware designed for fast and efficient processing of complex mathematical tasks. These GPUs find broad applications in gaming, video editing, and various activities that demand substantial graphical processing capabilities.

Sam Altman, OpenAI's CEO, has subtly hinted at the significance of Nvidia GPUs in the potential training of GPT 5. With GPT 4 showcasing multimodal capabilities, there's heightened anticipation for advancements in understanding audio and video. This could prove particularly advantageous for content creators, offering intelligent tools for tasks like organizing video timelines and selecting background music.

4. integration of Artificial General Intelligence (AGI)

Another intriguing speculation gaining traction is the potential integration of Artificial General Intelligence (AGI) into ChatGPT 5.

If AGI becomes a reality, it could seamlessly integrate AI into our daily lives, taking on versatile roles such as managing personalized grocery orders or overseeing childcare and home security.

While the actual likelihood of AGI in ChatGPT 5 remains uncertain, the possibility of such an integration sparks anticipation for a significant leap in AI capabilities.

Financial Considerations and Challenges

Creating and maintaining advanced AI models like ChatGPT comes with significant expenses, and OpenAI reportedly faces daily costs of approximately USD 700,000 or CAD 940,400 just to keep ChatGPT operational.

With such high operational costs, it is not surprising that the financial sustainability of ventures such as GPT have been called into question with rumours suggesting the potential for bankruptcy by the end of 2024.

Moreover, it is important to note that the substantial costs associated with language models stem from both the expenses associated with training AI models and the need for high-end GPUs that shed light on the complex financial context associated with the operation of these innovative technologies.

Current Landscape and Competition

In the midst of the AI revolution, it is no surprise that major tech players are also actively contributing to the AI landscape by introducing their own Large Language Models (LLMs).

Some notable challengers include Google's Bard and Microsoft's Bing Chat, which leverages GPT 4 positioning them as strong competitors.

Opposing this trend, OpenAI takes a distinctive approach that prioritizes quality over immediacy.

Their free version, ChatGPT 3.5, serves as a limited yet accessible introduction to AI-driven conversations.

In terms of subscription, ChatGPT 4 comes with a monthly price tag of around USD 20 or CAD 27.

ChatGPT 4 promises improvements in logical reasoning, extended knowledge, and the ability to understand images and graphs.

Moreover, it is important to highlight the skepticism among users regarding whether the benefits truly warrant the relatively high subscription cost.

Ethical Considerations

When Sam Altman briefly stepped back from his leadership role at OpenAI, concerns surfaced among researchers, as disclosed in a letter addressed to the research board. This letter, as reported by Reuters, highlighted apprehensions surrounding a new AI breakthrough referred to as Q*.

Q* is an algorithm developed by researchers that showed great potential in solving math problems at a grade-school level and was seen as having potential for advancements in Artificial General Intelligence (AGI). However, researchers urged caution due to concerns about its capabilities and the risks of premature commercialization, emphasizing the need for a thorough understanding of overall the overall impacts of such a tool.

While OpenAI did not publicly comment on the letter, their internal acknowledgment of project Q* and mirrored concerns echoed larger worries in the scientific community about developing and controlling highly intelligent machines.

Furthermore, it is important to mentioning the importance of comprehensive testing and careful AI deployment to minimize the potential risks associated with the commercial deployment of AI tools without sufficient control and regulation to govern them.

Conclusion

As we look forward to the release of ChatGPT 5, this guide has given you a detailed overview of how it has evolved, the current AI scene, the anticipated features, and the ethical considerations.

Stay in the loop with the latest developments in advanced language models from OpenAI and be ready to embrace the exciting changes on the horizon.

What features do you hope to see in OpenAI’s ChatGPT 5? Let us know in the comments.

If you need any help or guidance with AI implementation or custom software solutions feel free to contact us. We are a team of experts who can help you design and implement the best custom software solutions for your business.

Written by Natalia Duran

—

ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.

How AI Chatbots Have Recovered in eCommerce

9 months ago marked one of the biggest transitions in the way humans communicate that will become an irreversible change shortly in every industry. E-commerce is no exception, and the implications of Chat GPT and tools alike pose massive advantages for businesses that can leverage AI effectively.

Like anything new, there has to be the trial and error stage where businesses figure out how the tool fits into their processes. The first issue that immediately stands out with Chatbots is the generic and repetitive responses. If your site implements a Chatbot to manage customer support, how are you going to want the experience to be? For most business owners, the answer is a simple “Unlike anything they’ve ever seen before” which is great but we should also add “And can’t get anywhere else”.

What Happened With Chatbots in eCommerce at The Start (The Epic Fail)

In the early days of eCommerce Chatbots, rather than expediting processes, they ended up causing delays. Chatbots would struggle to locate information, resulting in sluggish responses that left customers feeling more frustrated than if they had waited for a human representative to assist them.

Even when Chatbots managed to provide fast responses, they frequently failed to address the specific questions customers posed. For instance, if a customer inquired about the precise location of their package, the chatbot might respond with a generic message like "Your package is in transit".

In their initial stages, Chatbots were limited in their ability to handle anything beyond basic requests. While they could handle queries like "How do I start a return?" they were incapable of handling more complex requests like "I'd like to check the status of an ongoing return."

The biggest downfall of these early-day Chatbots was their struggles to retain previously gathered information. If a customer was transferred to a human representative, that representative often had none of the information the chatbot had already collected.

Even today, Chatbots are not universally trusted. Under the Bot Disclosure Act implemented in California in July 2019, retailers are required to inform consumers when Chatbots are in use, with non-compliance resulting in fines of up to $2,500 per violation. 

What’s Changed?

We can’t come off talking about this Chatbot dystopia without telling you about the strides the technology has made in recent years. So with that said, here’s a look at what’s been going on: 

From a technological perspective, this is what’s gotten better: 

1. Natural Language Processing (NLP): NLP lets Chatbots understand and interpret human language, which makes interactions feel more natural and meaningful.

2. Machine Learning (ML): ML algorithms let Chatbots remember and learn from past interactions, which over time makes them more efficient. This is essential for personalization and handling any issues brought to light by customers.

3. Chatbot Architectures: The design and development of Chatbots have evolved to include components like user interfaces, NLP engines, and ML algorithms, which make the Chatbots more powerful and enhance their responsiveness.

4. Rule-Based vs. AI-Based Chatbots: Rule-based Chatbots use predefined rules to respond to queries, and AI-based Chatbots leverage NLP and ML to understand and respond to user queries. Match those up against each other, and AI Chatbots are the clear winner. 

5. Best Practices: Developers now follow best practices in chatbot design, focusing on clear purposes, and the user experience, and prioritizing ongoing testing and refinement.

With this part covered, let’s shift to what these technological advancements have translated into:

1. Human-Like Chatbots: Chatbots have become more human-like, thanks to the advancements in Natural Language Processing and machine learning algorithms. This makes interactions with Chatbots more relatable and user-friendly. Recall that in the past, Chatbots often provided generic and robotic responses.

2. Deep Customer Insights: Modern Chatbots are designed to use deep customer insights to inform their responses. This is a fancy way of saying; they can analyze user data and give those personalized/relevant responses that companies want their users to have.

3. Voice Bots: Voice bots (Siri, Alexa, etc.) have obviously become a massive deal since they also give a more natural and intuitive interface for users. Think about booking appointments, ordering food, or making reservations using voice commands. This was a massive improvement over text-only Chatbots.

4. Improved Customer Satisfaction: Chatbots are now designed to create a sense of connection between the customer and the company instead of simply being a means to automate support services. They provide quick, personalized experiences that improve customer satisfaction and loyalty. In the past, as we know, Chatbots often left customers feeling disconnected and dissatisfied.

What a Successful Chatbot Implementation Looks Like

A few good examples of companies leveraging Chatbots effectively include Rawbank, Starbucks, and Lyft. To break down what each of these companies is doing as straightforwardly as possible, we’ll say that effective Chatbots can be recognized under three pillars:

1. How it understands language

2. How it personalizes the experience

3. How it continues to get better

With Rawbank for example, it has over 50 different use cases which is what makes it so well regarded. With this amount of ground covered, it’d mean that there isn’t a whole lot users could throw at the system that it wouldn’t be able to handle. This brings me to the next point; how it personalizes.

We’ll use Starbucks for this one just because it’s super simple. The chatbot can access a customer's order history, it lets them customize things, it gives recommendations, and it’s a barista in your pocket. This is a system that’s going to set the standard for any local coffee shops now and guess what? The companies who leverage it better than others, will get more customers and retain them longer. 

Lastly, Lyft. They recognize that their market is heavily controlled by Uber - which puts a lot of pressure on them when it comes to the customer experience. At first glance, you can see that the Chatbot interface for Lyft closely resembles an iMessage chat which is certainly user-friendly, but how does it stand out? Well, Lyft beat Uber to market. Which has given them time to get some mileage on their Chatbot and optimize the user experience. 

The Takeaway

It’s no surprise that a lot of people’s knowledge and understanding of AI stops at Chat GPT. These Chatbot interfaces are setting a new standard for how people find and interact with information, which is now pouring over into the business world. Want to get behind the shift? Find out if your business is ready for AI today.

Written By Ben Brown

—

ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.

Introducing Microsoft Dynamics 365 Copilot: The Next-Generation AI for Business Applications

Microsoft Dynamics 365 Copilot is a new AI-powered feature that brings the next gen of AI and natural language processing to Dynamics 365. This is a direct byproduct of Microsoft's acquisition of OpenAI, which, since then, they have been working together on various AI projects. 

Copilot is based on the same language-learning model as ChatGPT, and It’s designed to work alongside businesses to help them create ideas and content faster. It does so by handling tedious tasks, providing insights, and the next best steps just by the user describing what’s needed. Copilot is the world’s first AI copilot natively built-in to both CRM and ERP applications.

Copilot uses natural language processing to understand what the user is trying to accomplish and provides suggestions and recommendations based on that understanding. Copilot works across all Dynamics 365 applications, including Sales, Customer Service, Field Service, Finance, Supply Chain Management, and Commerce.

3 Key Features of Copilot:

• Natural Language Processing: Copilot uses NLP to understand what the user is trying to accomplish and then gives suggestions and recommendations based on that understanding.

• Contextual Answers: Copilot in Dynamics 365 Customer Service is an awesome tool for agents. Copilot drafts contextual answers to queries in both chat and email, as well as providing an interactive chat experience over knowledge bases and case history so this AI-powered expertise is always available. 

• AI-Assisted Content: Copilot in Dynamics 365 Sales helps sellers with customer follow-up by generating AI-assisted content and recommendations, such as contextual emails based on the customer’s interests and preferences.

How Developers Can Use Copilot

With its machine-learning algorithms, Copilot has a lot to offer to developers, specifically when it comes to coding. Copilot works well with JavaScript, TypeScript, Python, Ruby, and Go, and it can analyze code - and then provide suggestions for the next line. That’s still just surface level, this is a more in-depth look at what Copilot can do:

Documentation:

• It can create code comments, write a function or class descriptions, and explain code segments.

• Developers can ask Copilot to generate documentation for specific functions, classes, or code blocks, saving them time in the long run. 

Troubleshooting:

• When developers encounter issues or error messages, Copilot can help with troubleshooting. It will give suggestions for debugging, recommend potential solutions, and explain the more common programming errors.

• Developers can also describe the problem they're facing, and Copilot can guide them on how to address it.

Code Formatting:

• Copilot can help developers adhere to the guidelines for standards and formatting. It will suggest things like formatting options, style improvements, and best practices.

• Developers can use Copilot to automatically format their code or make it consistent with their preferred coding style.

Code Review:

• During code reviews, Copilot helps by suggesting improvements and identifying potential issues, and even offering alternative coding approaches.

• Developers can work with Copilot to make sure the code quality meets the standards.

Code Snippets:

• Copilot can supply code examples and snippets for common programming tasks, algorithms, and even libraries. Developers can request code samples for specific functionalities, which inevitably will save them the effort of searching for examples online.

Integrations:

• Developers can integrate Copilot into their preferred development environments, such as code editors or integrated development environments (IDEs). This allows them to access Copilot's assistance seamlessly while coding.

Customization:

• Developers may have the option to customize Copilot's behavior and preferences based on their specific coding requirements and coding standards.

Learning:

• Developers, especially those learning to code or exploring new languages, can use Copilot as a learning tool. It’ll provide explanations, code samples, and insights into programming concepts.

Use Cases

Microsoft claims that more than 63,000 organizations have used Copilot's AI features, the draw is that it can integrate AI and ML across business functions. The reason a company would turn to Copilot in 2023 is because this is where the potential to normalize AI lies for Microsoft users. 

Imagine the Chat GPT responsiveness integrated into every form of customer service, sales, informational sessions, email chains, supply chain management, and operations. When people say “AI will take over”, the underlying fear there is that it’s going to increase productivity and innovation to a point people couldn’t even conceive. 

The Takeaway

Microsoft Dynamics 365 Copilot represents a significant leap in the integration of AI and natural language processing within business applications. Copilot is engineered to empower businesses by streamlining processes, which can either paint it as a public enemy or a trusted ally, depending on how it's embraced and leveraged.

Written By Ben Brown

—

ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.