Author: Redo You

The power and unpredictability of tornadoes have long fascinated scientists and meteorologists. These violent phenomena can cause significant damage and pose a threat to human life. Forecasting tornadoes accurately has always been a challenge due to their elusive nature and the limited view provided by weather radar.

However, a groundbreaking dataset called TorNet, curated by researchers at MIT Lincoln Laboratory, is changing the game.

Advancements in large language machine-learning models have revolutionized the capabilities of chatbots like ChatGPT. However, when engaged in prolonged conversations, these powerful AI systems often encounter performance issues.

Researchers from MIT and other institutions have successfully identified the underlying cause of this problem and developed a simple yet effective solution. By making a slight adjustment to the key-value cache, which acts as a conversation memory for these language models, the researchers have enabled chatbots to maintain uninterrupted conversations without experiencing crashes or slowdowns.