“Advances in AI: Large Language Model Offers Precise Inorganic Compound Predictions”

Training an AI model to predict inorganic compound synthesis steps

Researchers in China have developed a new large language model (LLM) called MatChat that has the ability to predict the steps required to synthesize inorganic compounds. This represents a significant advancement in applying generative artificial intelligence in a scientific context. LLMs, such as Open AI’s GPT-3 model, have the capability to extract meanings from text and perform a variety of tasks. However, training an LLM requires extensive amounts of data, which is acquired through self-learning.