Large language models (LLMs) have seen a dramatic rise in the AI field in recent years, marked by significant advances such as OpenAI's GPT-4 and other network model-based systems. neural Transformer, developed in particular by Google Brain.
These models represent a major advance in the field of AI, far surpassing the capabilities of previous systems.
Their success lies in their ability to perform a multitude of tasks, including generating computer code from rough specifications and performing legal testing.
Some researchers see these advances as an important step toward human-level artificial general intelligence (AGI), while others, like Yann LeCun, believe they are only an intermediate step on the road to AGI.
Decentralized AI projects, such as those involved in the#ASIAlliance, recognize the progress made by LLMs, while emphasizing that they represent only part of the puzzle towards comprehensive AGI.
These projects focus on developing tools for training and inference of LLMs on decentralized networks, as well as the ethical management of data used for these models.
These approaches offer considerable potential for developing LLMs and other deep neural networks that are smarter, less expensive, and more ethical in data processing.
THE AI REVOLUTION IS UNDERWAY
