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Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
As agentic AI workflows multiply the cost and latency of long reasoning chains, a team from the University of Maryland, Lawrence Livermore National Labs, Columbia University and TogetherAI has found a [...]
How an Oregon court became the stage for a $115,000 showdown between Meta and Facebook creators
Some of the most successful creators on Facebook aren't names you'd ever recognize. In fact, many of their pages don't have a face or recognizable persona attached. Instead, they run pa [...]
Nvidia says it can shrink LLM memory 20x without changing model weights
Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the mo [...]
DeepSeek's new V3.2-Exp model cuts API pricing in half to less than 3 cents per 1M input tokens
DeepSeek continues to push the frontier of generative AI...in this case, in terms of affordability.The company has unveiled its latest experimental large language model (LLM), DeepSeek-V3.2-Exp, that [...]
Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training
Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates [...]