Clevertar

Learn about the prospects and perils of generative AI in our latest article: www.clevertar.com/generative-ai-prospects-and-perils/

Large language models have been gaining a lot of attention recently, especially with the introduction of ChatGPT. So we thought we'd ask ChatGPT to write the following post to explain more about this technology...

What exactly are large language models and how do they work? In a nutshell, a large language model is a type of artificial intelligence that uses deep learning algorithms to process and understand natural language. By analyzing vast amounts of text data, these models are able to generate human-like responses to questions and statements.

One of the most well-known large language models is ChatGPT, which was developed by OpenAI. ChatGPT uses a transformer architecture, which allows it to process language more efficiently and accurately than previous models. This allows ChatGPT to provide detailed and accurate responses to a wide range of queries, making it a valuable tool for businesses.

So why should businesses explore the use of large language models like ChatGPT? There are several potential benefits, including:
• Improved customer service: By using ChatGPT to automatically respond to customer inquiries, businesses can provide faster and more accurate answers to common questions, reducing response times and improving the customer experience.
• Enhanced efficiency: With ChatGPT handling routine tasks and queries, businesses can free up their human employees to focus on more important and complex tasks, increasing overall efficiency and productivity.
• Cost savings: Automating routine tasks and inquiries with ChatGPT can help businesses save money by reducing the need for human labour.

Overall, large language models like ChatGPT offer businesses a powerful tool for improving operations and better-serving customers. If you're interested in learning more about how this technology can benefit your business, please reach out to us to explore the possibilities.

“Chatbots are dumb”. “No one uses chatbots”. “It would take a lot of time to launch a chatbot”. People’s perceptions around chatbots - how effective they are, or how cost-effective and easy they are to build—vary widely and wildly.

Rather than let these assumptions continue unchecked, we thought we’d put them to the test and challenge them based on our research.

What follows is a closer look at how the key findings from our recent market insights research dispel four central assumptions about chatbots.

See the key findings from our report: https://clevertar.com/4-assumptions-youve-probably-made-about-chatbots-and-the-surprising-truth/