The key technologies fuelling chatbot evolution
Most of us are familiar with chatbots on customer service portals, government departments, and through services like Google Bard and OpenAI’s ChatGPT. They are convenient, easy to use, and always available, leading to their growing use for a diverse range of applications across the web. Unfortunately, most current chatbots are limited due to their reliance on static training data. Data outputted by these systems can be obsolete, limiting our ability to gain real-time information for our queries. They also struggle with contextual understanding, inaccuracies, handling complex queries, and limited adaptability to our evolving needs. To overcome these issues, advanced techniques…This story continues at The Next Web
Most of us are familiar with chatbots on customer service portals, government departments, and through services like Google Bard and OpenAI’s ChatGPT. They are convenient, easy to use, and always available, leading to their growing use for a diverse range of applications across the web. Unfortunately, most current chatbots are limited due to their reliance on static training data. Data outputted by these systems can be obsolete, limiting our ability to gain real-time information for our queries. They also struggle with contextual understanding, inaccuracies, handling complex queries, and limited adaptability to our evolving needs. To overcome these issues, advanced techniques…
This story continues at The Next Web