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🚀 Advancing Domain-Specific Models (DSMs) with Meta's Llama 4 We initiated our “Think Like a Domain Expert (https://lnkd.in/g_Bh7Qmq )” series with the A8-Semicon model, followed by the A8-Energy models (https://lnkd.in/gTHhQwvp), and most recently, the A8-SupplyChain model (https://lnkd.in/gPaCFuhj), which have achieved an average 3x performance improvement over general-purpose LLMs, as highlighted by VentureBeat. Building on this momentum, within 24 hours of Meta's Llama 4 release, we've integrated it into our DSM family. This rapid integration underscores our commitment to leveraging the latest advancements to enhance our models. In our Verilog benchmarks, Llama 4 demonstrates a ~2x improvement over Llama 3.1, as illustrated in the plots below. Notably, our DSM continues to lead in performance, underscoring the value of domain-specific models. We're actively updating our A8-Semicon model, along with our other DSMs, to incorporate Llama 4's multimodal features and are thrilled with the promising early results! A heartfelt thank you to the AI at Meta team for their significant contributions to the open-source community and their invaluable partnership. 📢 Stay tuned—our DSM family is expanding rapidly. We can’t wait to share what’s coming next. #AI #DomainSpecificModels #SupplyChain #Semiconductors #Llama4 #OpenSource #MetaAI #A8Platform #AgentofAgents #ModelMesh