Post by simranratry20244 on Feb 12, 2024 3:39:57 GMT -6
If we told you that many of the parts of this post are written by ChatGPT, you would believe us. This Artificial Intelligence already assists us in writing all types of texts and answers questions in a very natural way and perhaps with too much confidence. Without a doubt, the way we interact with machines has already changed and little by little we are using them more in daily and professional tasks.
Furthermore, this multilingual language model Colombia Telemarketing Data developed by Open AI proves to work very well in Spanish, representing a great advance in the field of Natural Language Processing (NLP) in our language. However, while it surprises us, we are also discovering some of its limitations.
ChatGPT tends to remain superficial and fails when we ask more specific questions or ask for things that require greater knowledge about a field or discipline. In this post, we tell you to what extent ChatGPT is applicable and how, based on the IIC experience , we can adapt the language models to specific tasks and domains to make them more effective.
When we use ChatGPT , we are faced with the best in language generation. Its strong point is its ability to summarize and synthesize the information we have available online . Furthermore, this language model trained to maintain conversations on any topic is managing to democratize some of the positive uses of Artificial Intelligence , such as the possibility of automating certain tasks or using it as an assistant in more creative work.
From a large amount of text on the Internet, ChatGPT has learned to predict which words are most likely to follow a given sequence. What's more, unlike other available models, it has not only learned how language is structured, but a human team has then indicated which conversations and responses best fit us as humans , hence its naturalness.
ChatGPT conversation However, it is important to consider that he does not understand the words he “learns” or the knowledge he generates, he only knows how to complete sentences probabilistically. Experts and AI itself invite us to be critical of what it answers, which is more doubtful the more specific the questions and tasks we ask it. In these cases, such as summarizing a legal text or asking for complex programming code, language models specifically trained for this work better.