Sharath

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Research Synthesis: Inside the Architectures of Open-Source LLMs: Attention, MoE, Hybrid Layers and Quantization

🌐 dev.toSource

In-depth editorial curation and ShVaSa intuition on Inside the Architectures of Open-Source LLMs: Attention, MoE, Hybrid Layers and Quantization, analyzing architecture and hardware trade-offs.

#devtodeeplearning #education #devto #dev #shvasa #attention #inside #architectures

5 days ago

Tri-Hybrid Architecture Deep Dive: Liquid AI's LFM3-1.7B, Sub-Millisecond Convolutions, and 256K Context on Edge Silicon

🌐 dev.toSource

An in-depth empirical breakdown and DGX Station benchmark of Liquid AI's newly released LFM3-1.7B tri-hybrid architecture, evaluating depthwise convolution throughput, 75% KV-cache compression, and 256K context capabilities.

#dev #self #lfm3 #layer #attention #standard #article #englishlanguage

5 days ago

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Sharath