Attention

Side note: the language “decoder” is a vestige from the unique paper, as Transformer was first used for machine translation tasks. You “encode” the source language into embeddings, and “decode” from the embeddings to...

Side note: the language “decoder” is a vestige from the unique paper, as Transformer was first used for machine translation tasks. You “encode” the source language into embeddings, and “decode” from the embeddings to...

What LayerNorm really does for Attention in Transformers2 things, not 1… Normalization via LayerNorm has been part and parcel of the Transformer architecture for a while. In the event you asked most AI practitioners...

Over the previous 12 months, there have been significant developments in zero-knowledge technology, and in 2023, we're experiencing a remarkable increase in its adoption across the blockchain sector.In parallel, the deployment of machine learning...

Time to exit of the shadows

We are going to steadily expand the capabilities of our Pessimistic Spotter on-chain monitoring & defense service and supply additional details in the following digest piece!Greetings, dear readers!Since our previous review digest, the Web3...

Surprised how many individuals within the AI and ML field regurgitate concerning the famous “Attention” mechanism in Vaswani et al., Transformer paper without actually knowing what it's. Did you understand that Attention has been...