ChatGPT, which is a chatbot powered by OpenAI’s GPT (Generative Pre-trained Transformer) language model, is a very powerful tool for processing and generating human-like natural language text. It is currently one of the most advanced language models available, and it has been trained on a massive dataset of diverse text sources, making it capable of producing coherent and contextually appropriate replies to a wide range of prompts and questions.
ChatGPT is designed to simulate human conversation, and it can be used for a variety of tasks, including language translation, customer service, and even creative writing. It can understand natural language input and generate responses that are not only grammatically correct but also semantically meaningful and contextually appropriate.
But OpenAI wants to make ChatGPT even more powerful than it already is, and only the god of tech knows when it will all stop. ChatGPT has been in the front-row news pretty much everywhere since its launch in November 2022, and there’s no wonder why.
GPT-4 and Whisper API bring plugins to ChatGPT
OpenAI has recently introduced plugins for ChatGPT, following the release of the GPT-4 engine and Whisper API in March, as Engadget reveals. These plugins will enable ChatGPT to interact with third-party APIs, thereby enhancing its capabilities and expanding the range of actions it can perform. For instance, with these plugins, developers can tailor ChatGPT’s responses to specific circumstances and even retrieve real-time information such as sports scores, stock prices, and breaking news. Additionally, ChatGPT can also pull knowledge-based information from internal documents or personal clouds and take actions on behalf of users, such as booking a flight or ordering take-out.
Before this latest upgrade, ChatGPT could only discuss past games and scores, specifically those that happened in 2021 when GPT-3’s training data was assembled. It was not aware of real-time data or even the existence of the year 2022. However, with these plugins, developers can integrate ChatGPT’s functionality into their existing code stack and provide users with an experience similar to that of an installable Google Assistant.
Here’s a statement coming from the OpenAI team:
“The AI model acts as an intelligent API caller. Given an API spec and a natural-language description of when to use the API, the model proactively calls the API to perform actions,
“For instance, if a user asks, ‘Where should I stay in Paris for a couple nights?’, the model may choose to call a hotel reservation plugin API, receive the API response, and generate a user-facing answer combining the API data and its natural language capabilities.”
Moreover, the company states that using plugins to bridge the knowledge gap between the model’s training data and current information should help reduce the AI’s tendency to hallucinate facts when it answers complex questions. Nevertheless, the added capabilities and information may also increase the likelihood of the model returning problematic responses. Therefore, developers must exercise caution and ensure that ChatGPT’s responses align with their intended outcomes.
Compared to its predecessors, ChatGPT has shown significant improvements in its ability to generate human-like responses, and it continues to be refined and developed to further enhance its capabilities. However, like any other AI technology, ChatGPT has its limitations and is not yet capable of fully replicating the complexity and nuance of human language and thought.
