Will ChatGPT Solve All Our Problems?

GPT, or generative pretrained transformer, is a technique that has recently made waves in the AI field. While GPT has already made substantial contributions to a variety of domains, it is crucial to note that it is not a finished product. Instead, it is a technological enabler that has the potential to allow much bigger future advances.

GPT is a machine learning model that can analyze natural language, making it a powerful tool for a wide range of applications. GPT, as a technology enabler, sets the stage for a wide range of AI products and services that may be employed across sectors. This comprises chatbots, content producers, question-answering systems and other similar technologies.

What Is ChatGPT?

ChatGPT, the latest language model developed by OpenAI, has also been stirring up excitement not only in the AI industry but in other industries as well. It’s a GPT model that uses deep learning algorithms to generate human-like text-based responses to inputs. Its ability to generate coherent and context-aware text has made it popular among startups, but it’s important to note that it is not a one-size-fits-all solution.

Although ChatGPT has garnered attention for its cutting-edge technology, it’s crucial to understand its limitations. The model is limited to raw text-based input and doesn’t support specific file types, such as CSV, PDF or Microsoft Word or other media types, such as audio or video. Despite its in-build memory mechanism, which brings it ahead of the previous GPT3 model, ChatGPT has no built-in mechanism for categorizing and storing long-term information, making it challenging to retrieve past interactions. Both models are not legally suitable for working with sensitive data and don’t comply with privacy regulations such as HIPAA. Lastly, ChatGPT doesn’t have industry-specific knowledge.

Startups need to build additional technology around it to adapt to their specific use cases, viewing the GPT model as a tool rather than a final solution. Despite its limitations, the widespread attention and media coverage of ChatGPT highlights the growing interest and potential of language models in shaping the future of AI.

The Role Of Startups: Bridging The Gap

Startups are crucial in transforming the powerful technology of GPT into real-world solutions. By leveraging the advanced language capabilities of GPT, startups are able to build tailored solutions that cater to specialized products for different industries. This requires fine-tuning the models to incorporate niche-focused knowledge and adding additional features that meet the demands of the bespoke use cases.

Startups in the AI field sometimes keep the details of their technology under wraps, making it difficult to discern which companies use GPT exactly and which use alternative language models. This kind of secrecy is normal in the startup industry, as firms aggressively preserve their intellectual property (IP) to retain a competitive edge. However, it can make it difficult for investors and users to properly comprehend the product’s potential and limits.

Despite this lack of transparency, GPT and other language models are clearly playing an increasingly crucial role in the creation of new AI goods and services.

Some of the notable startups that are utilizing GPT in innovative ways include:

• Customer Service: Companies like Amelia possess human-like abilities to deliver virtual customer care and IT help desk service. Their AI can also work as a virtual call center representative.

• Mental Health: Replika, a startup that leverages AI technology, seeks to mimic the experience of a therapist through conversation, though it does not officially present itself as one. On the other hand, Mentalyc takes a distinct approach by focusing on augmenting therapists’ decision making through advanced text analysis. The goal of Mentalyc is to empower therapists to make better and more informed decisions, thereby improving the quality of care for their patients. Both startups are examples of innovative companies that utilize GPT as part of their solution and are pushing the boundaries of AI in the field of mental health.

• Copywriting: Copy.ai, Copysmith and Thundercontent are leveraging the power of GPT technology to revolutionize the content creation process. These startups aim to provide businesses with high-quality, engaging content that can be produced faster and more efficiently than ever before.

• Marketing: Jasper AI (formerly Jarvis AI) utilizes GPT technology to engage with customers and provide marketing insights through natural language conversations.

• Legal Services: LawGeex, donotpay and Luminance are harnessing the power of GPT to streamline legal processes and improve the efficiency of legal services.

• Go-To-Market: Ignition is using AI to build dynamic go-to-market plans. It’s a collaborative hub for Marketing & Product teams to plan, execute and measure the GTM side of launching.

• Email: Sanebox and Superhuman use AI to provide smarter, more personalized email services that improve productivity and simplify communication.

If you’re interested in cutting-edge AI technology, you’ll definitely want to keep an eye on startups like these that are native to GPT technology. For example, I sat down with the duo behind Mentalyc, Maria Szandrach and Georgi Urumov, to talk about how they’re using AI. They are not just using AI models to empower therapists by allowing them to outsource their note-taking tasks with just an audio file and a click of a button, but they are also constantly exploring new ways to leverage different models’ capabilities to solve the challenges they face on a day-to-day basis.

Conclusion

The first step for leaders in organizations looking to integrate GPT technology into their existing applications is to try out ChatGPT themselves. The applications are innumerable. An increasing number of products, including well-known platforms like Notion and Coda, are adopting GPT technology into their products. Furthermore, Microsoft, a significant OpenAI investor, will soon integrate GPT technology into its products, including Bing and Microsoft 365.

Companies that leverage this technology to solve existing problems will be more successful than startups that offer AI as a standalone product. It is important to focus on the application of this amazing AI technology rather than just the technology itself.