DLite is worth a mention.
It doesn’t rely on cached conversation history; it directly predicts the next token. In an agent loop, that saves a lot of time otherwise spent rereading history back and forth. The paper topping today’s leaderboard with 19 votes is no coincidence.
The connection to crypto is clear.
$FET This proxy protocol runs multi-step tasks, where the overhead of reading and rereading context accounts for more than half of inference time. Bringing this history-free decoding approach to on-chain agents could make them faster and cut costs in half, giving it room to gain traction.
$NEAR focuses on the inference layer. Papers like this pave a low-cost path for proxy protocols, making it a long-term positive.
#代理协议推理 #免历史解码 #AI
It doesn’t rely on cached conversation history; it directly predicts the next token. In an agent loop, that saves a lot of time otherwise spent rereading history back and forth. The paper topping today’s leaderboard with 19 votes is no coincidence.
The connection to crypto is clear.
$FET This proxy protocol runs multi-step tasks, where the overhead of reading and rereading context accounts for more than half of inference time. Bringing this history-free decoding approach to on-chain agents could make them faster and cut costs in half, giving it room to gain traction.
$NEAR focuses on the inference layer. Papers like this pave a low-cost path for proxy protocols, making it a long-term positive.
#代理协议推理 #免历史解码 #AI