𝗘𝘅𝗽𝗼𝗻𝗲𝗻𝘁𝗶𝗮𝗹𝗹𝘆 𝗙𝗮𝘀𝘁𝗲𝗿 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴

𝗘𝘅𝗽𝗼𝗻𝗲𝗻𝘁𝗶𝗮𝗹𝗹𝘆 𝗙𝗮𝘀𝘁𝗲𝗿 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴

Standard language models are slow. They use attention mechanisms. These mechanisms get slower as your text gets longer.

The problem is quadratic complexity. Doubling the text quadruples the work. This costs time and money.

Linear Transformers fix this. They change how the model calculates attention.

Benefits of linear attention:

• Faster processing speeds.
• Lower memory use.
• Better handling of long documents.

Linear models make AI scale.

Source: https://dev.to/paperium/exponentially-faster-language-modelling-6fd Optional learning community: https://t.me/GyaanSetuAi