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Podcast: Arxiv Papers
Episode: [QA] Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
Description: This paper presents Hogwild! Inference, a parallel LLM inference engine enabling LLMs to collaborate effectively using a shared attention cache, enhancing reasoning and efficiency without fine-tuning.https://arxiv.org/abs//2504.06261YouTube: https://www.youtube.com/@ArxivPapersTikTok: https://www.tiktok.com/@arxiv_papersApple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers