Pim
PulseAugur coverage of Pim — every cluster mentioning Pim across labs, papers, and developer communities, ranked by signal.
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AHASD architecture boosts LLM speculative decoding on mobile devices
Researchers have developed AHASD, a novel asynchronous heterogeneous architecture designed to optimize large language model (LLM) inference on mobile devices. This architecture employs task-level decoupling for parallel…
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New research explores efficient LLM inference through sparse caching, batching, and secure computation.
Multiple research papers are exploring novel techniques to enhance the efficiency and performance of Large Language Model (LLM) inference and training. These advancements include queueing-theoretic frameworks for stabil…
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General Intuition raises $134M seed for world models trained on game data
General Intuition has secured $134 million in seed funding to develop world models, which are seen as the next frontier beyond large language models. The company plans to leverage a massive dataset of 3.8 billion gaming…