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10 alternatives to ChatGPT already available



The fastest-growing consumer application in history, ChatGPT has on average 13 million unique visitors per day | Photo: Matheus Bertelli.

ChatGPT, the artificial intelligence chatbot developed by OpenAI and launched in 2022, may be the AI tool of the moment. But there are several AI tools and frameworks available that are similar to ChatGPT, and it’s worth testing as many different AI tools as you can before becoming loyal to one in particular.

Even if you are only looking for the free subscription version of one of those AI tools to help you with research or writing copy, the market is not short of options. Each tool has its own strengths and features, so the choice depends on your specific requirements.

I asked marketers, engineers, entrepreneurs and even ChatGPT itself what are the best alternatives to ChatGPT already available. Here are some examples of AI tools and frameworks available for developing conversational AI applications in 2023.


“Our law firm uses Jasper.AI instead of ChatGPT, as the tool is designed for businesses versus ChatGPT, which leans more towards research and experimentation. Jasper trains and refines its AI models in-house with GPT 3.5 as its foundation. Jasper also offers templates to create high-quality content faster. Jasper’s templates cover blog posts, case studies, titles, and meta descriptions. Jasper is even useful for writing video scripts from scratch. These features enable our business to create content more quickly and effectively.”

 Joan Siopes – Marketing Director at Texas-based Law Firm Herrman and Herrman PLLC.


“I’m currently using DialoGPT as an alternative to ChatGPT. Although both ChatGPT and DialoGPT are AI tools used for generating human-like responses to user queries, DialoGPT is more advanced in terms of its capabilities. It has been trained on a larger dataset and can generate more coherent and diverse responses.
Another reason I prefer DialoGPT is because it has a higher level of customization. It allows me to fine-tune the parameters of the model to better suit my specific use case. This leads to more accurate and relevant responses for my clients.”

Michael Chen – Growth Director at audio transcription tool Notta.


“Google’s Electra is a pre-trained model that uses a generator-discriminator architecture to improve the effectiveness of pre-training. Google developed this model. It has obtained state-of-the-art results on various benchmarks despite having fewer training steps than other models. Additionally, it is particularly good for tasks that require comprehending the meaning of words
and sentences, such as sentence classification and text categorization.”

James White – Managing Director at UK-based media and communications firm Media First.


“Amazon Codewhisperer is a great alternative for my needs. While ChatGPT is a reliable and effective AI tool for generating chatbot responses, I have found that Codewhisperer offers a wider range of features and capabilities that are better suited for my specific projects. One of the key reasons that I prefer Codewhisperer is its customization options. With this tool, I am able to customize the chatbot responses to match the specific tone and voice of my clients’ brands. This level of personalization allows me to provide a more tailored and effective chatbot experience for users.”

Ranee Zhang – Computer engineer and VP at AI meeting notes tool Airgram.


“IBM Watson Assistant is one of the most well-liked ChatGPT substitutes. IBM Watson Assistant is a chatbot platform that engages users in conversation by utilizing machine learning and natural language processing. It enables companies to create and implement chatbots across a variety of channels, including messaging, mobile, and web platforms. A variety of features and functionalities are available with IBM Watson Assistant, such as entity extraction, intent recognition, and dialogue flow management. Salesforce, Zendesk, and Slack are just a few of the many outside systems and services that it supports integration with. The scalability of IBM Watson Assistant is a benefit because it makes it appropriate for companies of all sizes. It can easily be customized to meet the unique requirements of various industries and uses, can handle a high volume of conversations and use cases.”

Matt Bailey – Marketing Trainer and author at digital marketing platform SiteLogic.


“A great alternative to ChatGPT is FLAN-T5, developed by Google Research. This model stands out due to its speed, efficiency, and high customizability. It performs well on a wide range of natural language processing tasks, such as language translation, text classification, and question answering, making it suitable for various applications. One of the advantages of FLAN-T5 over ChatGPT is its open-source nature. Developers can access its pre-trained checkpoints and fine-tune the model according to their specific needs. Additionally, it requires fewer computational resources, making it a more cost-effective option compared to ChatGPT.”

Kunling Geng – Manager at Machine Learning and AI at


HuggingChat is a free open-source chat model created by Hugging Face, a hub for developers delving into AI and machine learning applications. One of HuggingChat’s key features is its resemblance to ChatGPT, making it effortlessly accessible for those already accustomed to the OpenAI tool. However, just like ChatGPT, its training data is only available up until September 2021.

Microsoft Turing

Turing is a language model developed by Microsoft. It offers a wide range of natural language processing capabilities and has been trained on a large corpus of data.

Google BERT

BERT (Bidirectional Encoder Representations from Transformers) is a language model developed by Google. It excels in understanding the context and nuances of language, making it effective for various natural language processing tasks.

Perplexity AI

“Although ChatGPT is by far the most popular AI tool, there are countless others that can assist in various departments. One of them is Perplexity AI, a high-performing ChatGPT alternative that has also been trained on OpenAI’s API. The website itself has been designed in a minimalist manner and is simple to use to help with daily tasks, even for those just starting out with AI.”

Sarrah Pitaliya – Vice President, Marketing at software company Radixweb.

Marcio Delgado is a Journalist, Producer and Influencer Marketing Manager working with brands and publications in Europe, America and Asia.


How to use AI to scale your business



A group of creative people in a meeting
AI can be utilised by all types of companies, from small startups to established firms. | Photo: Jason Goodman

The moment you decide to scale your business is incredibly exciting. Maybe you’ve got a great idea for a new sector or product you want to bring to your existing customer base. Or, you want to take your business from a part-time endeavour and make it your full-time livelihood. Regardless of your reason for deciding to scale up, it’s a significant commitment. As a result, you may be struggling to find the time to get started.

Taking the next step in your business can often feel like you’re venturing out of your comfort zone, but modern technology solutions are on hand to help. Artificial intelligence (AI) is breaking down barriers for entrepreneurs and big business owners alike, allowing everyone to benefit from time management, invoicing and creative tools that previously may have required another hire within the team. That’s not to say that AI can replace humans; but for those at the start of their scaling journey, it can represent a smaller financial commitment before taking the plunge and hiring a full-time expert or assistant. Plus, it can speed up many repetitive or data-heavy tasks.

In this post, we explore four ways AI can help you to take your business to the next level.

Find more leads to target

Unless you’ve got an inbox full of customers just waiting for you to release new products or services, the chances are that you’ll need to be proactive when it comes to getting new leads and converting those into sales. Trawling the internet to find stockists, brands who might want to work with you or even just looking through your own database of people who have purchased something previously is extremely time consuming.

AI can take on these tasks for you, meaning that you simply have to review the information and then decide on whether to get in touch with these contacts personally. Additionally, it can help you with creating customer personas and gathering audience insights, hopefully increasing your chances of success once you do pitch.

Increase your marketing capacity

Part of running a successful business is being known and seen in the marketplace, allowing you to remain competitive. In the modern world, that means you need to cover a huge variety of platforms, each with their own unique content strategy. Considering that includes everything from social media to email newsletters, that gives you a lot to do.

AI can help by creating outlines for emails or posts that you can then review and add your personal touch to, significantly reducing the time you need to spend on this task. Or, it can take content you’ve already rewritten and repurpose it for a different platform and audience, allowing you to extend your reach with minimal effort.

Automate and track your finances

Hopefully, as you increase your offering, your number of sales will also increase – but with that comes a rise in the number of invoices you need to create. Financial tasks are one of the areas where AI can be invaluable, as it’s a data-oriented process, which is where this technology tends to excel.

Setting up your business on a platform that works with AI can allow you to automatically generate invoices when a certain trigger is hit – for example, the day after you’ve delivered a service for a client. Plus, it can recognise when invoices haven’t been paid, sending the customer a reminder that their bill is due.

From an accounting perspective, AI can track and categorise your expenses and income. Especially when you take on more employees, this can be incredibly useful, saving you hours of time and hassle when it comes to closing the month.

Gain key data insights

Making the right decisions about which direction to take your business in can be hard. You may have a gut feeling about which markets to target or products to create, but without evidence, it can be difficult to take the risk and put money behind this decision.

AI can help you understand the trends that are happening in your industry, as well as forecasting the impact certain decisions will have on your business. Whilst things can always change, having some data-driven insights into what your future might look like can help you understand how it might be best to progress.

Supercharge your business

AI is a tool that can be utilised by all types of companies, from small startups to established firms. Rather than looking to replace human input, AI can act as a helpful assistant, reducing the financial and time risk associated with scaling.

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Names and physical addresses of 49 Million Dell users leaked



A woman in pajamas using a Dell laptop
The data reportedly encompasses information on systems purchased from Dell between 2017 and 2024

This week, US technology company Dell notified customers about a data breach involving customers’ names and physical addresses. While Dell states that the accessed database contained limited types of customer information related to purchases from the brand and believes there is not a significant risk to its customers given the type of information involved, the company acknowledged yesterday (May 9) that the data accessed via its portal also includes hardware and order information, such as service tag, item description, date of order, and related warranty information. According to Dell, the information involved does not include financial or payment information.

Upon identifying the incident, the American company founded in 1984 says that it has “promptly implemented our incident response procedures, began investigating, took steps to contain the incident and notified law enforcement”. Dell has also engaged a third-party forensics firm to investigate this incident.

On April 29th, the tech website Daily Dark Web published an article disclosing that a hacker was selling access to a database that allegedly contains 49 million Dell customer records. The data reportedly encompasses information on systems purchased from Dell between 2017 and 2024, and the stolen information would include full names and addresses.

Dell suggested customers to check a page with tips to help avoid tech support phone scams

What to do if you have been affected by Dell’s data breach

In an email sent to its customers on Thursday (May 9th), Dell informed them that an internal investigation indicated their information was accessed during the incident. However, the company stated that it doesn’t ‘believe there is significant risk given the limited information impacted.

You read it correctly: Dell doesn’t believe that attackers gaining unauthorized access to 49 million users’ names and physical addresses, leaked due to a data breach, poses a significant risk. The company signed off the warning email suggesting that people “should always keep in mind these tips to help avoid tech support phone scams. If you notice any suspicious activity related to your Dell accounts or purchases, please immediately report concerns to”

The linked blog page, posted in 2018, offers tips such as ‘hang up immediately if you receive a suspicious call’ and ‘hang up if an unsolicited caller pressures you to act quickly.’ However, it is unclear why Dell is informing people about phone scams, as the company states that the recent data breach, which involved the leak of physical addresses of 49 million Dell users, did not include email addresses or telephone numbers.

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AI experts explore ethical video tech for patients prone to falls



Dr Alan Godfrey and lead researcher and PhD student Jason Moore
Dr Alan Godfrey and lead researcher and PhD student Jason Moore

Video-enabled glasses have the potential to support patients at risk of falls by allowing medical staff to monitor how they move around their homes and their community. However, with privacy concerns at the forefront of this new technology, academics at Northumbria University have carried out a cutting-edge study into the ethical use of AI to ensure video footage can be obscured to ensure patient privacy.

Traditionally patients at risk of falls have been assessed based on information they provide themselves in diaries or during short in-clinic observation appointments. However, these do not provide clinical teams with objective, digital data on how patients move around outdoors and in their home environments – the areas in which they are most likely to have a fall.

Trials of inertial wearable technology worn on the lower back – similar to that used in a smart watch – to track patients’ walking movements, known as gait, are proving valuable but there are still pitfalls due to a lack of contextual information around where a patient is, who they are walking with and what activities they are carrying out.

In a bid to both improve, and personalise, patient care for those at risk of falls through illness or age, experts have been keen to explore how they can improve assessments and gain a fuller picture of what might be contributing to any abnormal gait data captured by the wearable devices.

Asking patients to also wear video-enabled glasses will provide much more accurate information on how they move depending on their surroundings, including obstacles and other hazards, where they are at the time and what might be putting them at increased risk of falls.

However, although the use of video technology has many potential benefits, patients wearing these video-enabled glasses – and their families – must be able to maintain their privacy.

In a bid to test how these privacy concerns could be overcome, a group of computing and digital health experts ran a technology pilot to test the application of new AI software that can blur personal data and information captured by video glasses – for example photographs around the home, footage of children or confidential paperwork.

They found that the AI software could successfully analyse the raw video footage and detect and blur details such as faces, letters and laptop or phone screens, ensuring patient privacy could be maintained.

Their research has now been published in Nature Digital Medicine.

Dr Alan Godfrey, Associate Professor in Computer and Information Sciences at Northumbria University, said: “As you can imagine the variability in how people move when they’re completing different tasks is enormous.

“The data or information provided from an inertial wearable device attached to someone when they’re wandering around their house will inevitably differ from the same person when they’re outdoors or walking more quickly to get somewhere or to keep up with someone. This means that while the use of an inertial wearable alone is helpful, it tells us nothing about the context in which a fall may occur.

“Having absolute clarity about the environment and what people are doing is key.”

He added: “We wanted to assess how new developments in AI would allow us to provide video-enabled glasses that would allow medical staff to observe patients’ movements in real environments over a longer time period without invading their privacy.”

The paper demonstrates that by combining information from the wearable device that records gait data with footage captured by video glasses which is obscured where necessary thanks to the ethical use of AI, clinicians have a much more comprehensive picture of how patients’ move in their own surroundings.

This could lead to significant improvements in the accuracy of patient fall risk assessment and in the decision-making process around patient care.

Speaking on the study, lead researcher and PhD student Jason Moore, from the Department of Computer and Information Sciences at Northumbria University, said: “Traditionally the use of video within the home has caused some apprehension among patient populations as a result of privacy concerns owing to what else may be captured on camera.

“However, through the use of AI software that can identify and obscure personal or sensitive information we can effectively capture the contextual information that will allow us to better understand abnormal gait data, whilst overcoming the concerns patients may have around the use of video technology in their own homes.

“The benefit of providing this contextual information is that clinicians will have a fuller picture for each individual patient which could ultimately allow them to provide more informed care plans and potentially keep more patients in their own homes for longer.”

The research involved experts from Northumbria’s departments of Computer and Information Sciences; Nursing, Midwifery and Health; and Sport, Exercise and Rehabilitation, as well as representatives from Northumbria Healthcare NHS Foundation Trust, and the Cumbria, Northumberland and Tyne & Wear NHS Trust.

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