It's pretty easy to see the problem here: The Internet is brimming with misinformation, and most large language models are trained on a massive body of text obtained from the Internet. Ideally ...

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well?

Large language models (LLMs) seem to get less reliable at answering simple questions when they get bigger and learn from human feedback.