Should AI models be like Swiss Army knives, versatile and handy in a variety of scenarios? Or do we prefer them as precision tools, finely tuned for specific tasks? In the world of artificial intelligence, and natural language processing specifically, this is an ongoing debate. The question boils down to whether models trained for specific tasks are more effective at these tasks than general models. Task-specific models: specialization and customization In my last blog post , we looked at the rise of personalized LLMs, customized for specific users. Personalized LLMs can be seen as an extreme form of task-specific model. Fans of task-specific models stress that these kinds of models are better suited for tasks involving confidential or proprietary data. This is obviously true. But some people also believe that specialized models necessarily perform better in their specific domains. It may sound logical, but the ans...
Many businesses use chatbots for customer service . Naturally, we want our bots to understand customers’ queries and respond correctly. But building good chatbots can be a challenge. Combining your chatbot with an app like ChatGPT is one way to maximize its potential. To do this, you need to use an API. What is ChatGPT, and what is an API? I will explain. I will then explore the best API integration practices for building ChatGPT chatbots. What is ChatGPT? ChatGPT is a chatbot developed by OpenAI. It uses a machine-learning model to produce human-like responses to text input. What is a machine learning model? Machine learning is a type of artificial intelligence. As the name suggests, it has to do with machines that can learn. In machine learning, a model is a mathematical representation of real-world data. The model learns patterns in the data through the process of training. It then uses these patterns to make predictions or decisions about new data. In...