The field of artificial intelligence (AI) has grown tremendously, with developments such as ChatGPT creating ripples. Is ChatGPT, on the other hand, a genuine AI or merely a smart language model? Here, we will look at the basic concepts underlying ChatGPT, its evolution, and the traits required for a system to be deemed a true AI.
To begin, it is critical to understand that ChatGPT is a large language model (LLM). Because of their capacity to understand and generate human-like writing, LLMs have grown in popularity in recent years. Being an LLM, however, does not automatically qualify ChatGPT as a true AI or artificial general intelligence (AGI).
It is critical to distinguish between AI and AGI. While AI is frequently used to refer to any system that can execute activities that would normally need human intellect, AGI is the next step – a machine that can understand, learn, and apply knowledge across a wide range of subjects, much like a human. Self-awareness is one of the major traits required for AGI, which ChatGPT lacks.
The ability of a system to perceive its own existence, reflect on its activities, and comprehend its impact on the environment is referred to as self-awareness. ChatGPT, as an LLM, is designed to analyse and output text based on patterns and correlations discovered in massive volumes of data. While it appears to have human-like reasoning and conciseness, it lacks self-awareness, preventing it from being a true AGI.
However, ChatGPT’s excellent success might be credited to its developers’ use of fine-tuning and reinforcement learning through human feedback. Fine-tuning is the process of improving the performance of a pre-trained model on a specific task or dataset. Fine-tuning ChatGPT allows it to better understand context, provide more coherent responses, and even display a semblance of originality.
Reinforced learning via human input is also important in shaping ChatGPT’s capabilities. Humans can help the model generate more accurate and relevant responses by providing feedback. The model adapts to this feedback over time, altering its internal weights and biases to improve its performance.
ChatGPT, while a remarkable LLM, is not a genuine AI or AGI. It lacks self-awareness and broad domain adaptability, both of which are essential for true artificial general intelligence. However, its reasoning and conciseness abilities, enabled by fine-tuning and reinforced learning via human feedback, are undeniably impressive. AI and LLM advance like as ChatGPT lay a solid platform for future research and development targeted at achieving AGI, bringing us one step closer to developing fully intelligent machines.
