Developing and improving large language models (LLMs), a process driven largely by Artificial Intelligence (AI) researchers, has pushed our comprehension of cognition and learning to unprecedented levels. These LLMs demonstrate impressive skills when put to use across various subject fields and activities.
This study focuses on the early version of GPT-4, developed by OpenAI, which was trained with a massive set of computing and data. We investigated this model since the organization has actively developed it.
We believe GPT-4 (as it stands now) is part of a new generation of Language and Machine Learning models that demonstrate more general intelligence than ever before. ChatGPT and Google’s PaLM are examples of models demonstrating this type of AI’s increasing power and implications.
We present evidence that GPT-4 can complete multiple innovative tasks, ranging from maths and programming to medical, legal, and psychological problems, without needing additional hints or commands. This way, we demonstrate its proficiency in various domains beyond natural language.
GPT-4 is an artificial general intelligence (AGI) system, and its performance in various tasks is remarkable – often surpassing prior models such as ChatGPT. This suggests GPT-4 could reasonably be viewed as an early, albeit incomplete, version of AGI. Its capabilities span both breadths.
Our investigation of GPT-4 has been carried out with a particular focus on understanding its boundaries to address the complexities that further development of AGI can bring. This includes debating if existing next-word prediction models are enough to help progress toward globally conscious AI or if novel approaches must be taken.
Modern technologies have immensely affected society, and these implications are worth further exploring. Thus, to summarize our discussion, future research should focus on understanding the societal influences of this technological revolution.
The early experiments with GPT-4 are an exciting development in pursuing AGI and demonstrate the potential of advanced language models to contribute to this goal. It will be interesting to see how GPT-4 and other AI technologies continue to evolve and shape the future of artificial intelligence.
Source: Microsoft Research
