This is wothless. Stop wasting our timw=e. AG On Thursday, February 13, 2025 at 5:32:52 PM UTC-7 [email protected] wrote:
> > > Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth > Approachhttps://arxiv.org/abs/2502.05171 > > https://twitter.com/akazlev/status/1890193777526292745 > > > We study a novel language model architecture that is capable of scaling > test-time computation by implicitly reasoning in latent space. Our model > works by iterating a recurrent block, thereby unrolling to arbitrary depth > at test-time. This stands in contrast to mainstream reasoning models that > scale up compute by producing more tokens. Unlike approaches based on > chain-of-thought, our approach does not require any specialized training > data, can work with small context windows, and can capture types of > reasoning that are not easily represented in words. We scale a > proof-of-concept model to 3.5 billion parameters and 800 billion tokens. We > show that the resulting model can improve its performance on reasoning > benchmarks, sometimes dramatically, up to a computation load equivalent to > 50 billion parameters. > > > New research paper shows how LLMs can "think" internally before outputting > a single token! Unlike Chain of Thought, this "latent reasoning" happens in > the model's hidden space. TONS of benefits from this approach. Let me break > down this fascinating paper... > > -- You received this message because you are subscribed to the Google Groups "Everything List" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion visit https://groups.google.com/d/msgid/everything-list/2ff9810e-e802-4922-84af-7c4d4e97bff0n%40googlegroups.com.
